Ioannis Kosmidis
http://www.ikosmidis.com/
Recent content on Ioannis Kosmidis
Hugo  gohugo.io
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Wed, 14 Oct 2020 00:00:00 +0000

Accessibility of HTML pages from R Markdown
http://www.ikosmidis.com/post/blogaccessibility/
Wed, 14 Oct 2020 00:00:00 +0000
http://www.ikosmidis.com/post/blogaccessibility/
Accessibility Over the years, I faced situations where I needed to make content (lecture notes, manuscripts, consultancy reports, etc.) as accessible as possible to effectively communicate with colleagues, clients, and students with particular accessibility requirements.
All those “accessibility encounters” of mine left me with a pile of unstructured notes and advice to my self to which I often refer. Well, I decided to blog about parts of it in case anyone else finds it useful.

brquasi: Improved quasilikelihood estimation
http://www.ikosmidis.com/post/newsbrquasierum2020/
Wed, 10 Jun 2020 00:00:00 +0000
http://www.ikosmidis.com/post/newsbrquasierum2020/
On 19 June 2020, I will be giving a talk at the eRum2020 conference titled “brquasi: Improved quasilikelihood estimation”. The talk is about the brquasi R package, which provides a glm method for improving bias in quasi likelihood estimation.
That package is a spinoff of theoretical work with Nicola Lunardon on methods for reducedbias Mestimation in general that require neither resampling (like the bootstrap does) nor full knowledge of the underlying distribution of the data (like other higherorder asymptotic methods do).

detectseparation R package is on CRAN
http://www.ikosmidis.com/post/newsdetectseparationmarch2020/
Thu, 26 Mar 2020 00:00:00 +0000
http://www.ikosmidis.com/post/newsdetectseparationmarch2020/
detectseparation provides prefit and postfit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses.
Prefit methods The prefit methods apply on binomialresponse generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007), using ROI or lpSolveAPI.

Making sense of CRAN: Package and collaboration networks
http://www.ikosmidis.com/post/newscranlyuser2019/
Sun, 07 Jul 2019 00:00:00 +0000
http://www.ikosmidis.com/post/newscranlyuser2019/
On 12 July 2019, I will be giving a talk at the useR! 2019 conference titled “Making sense of CRAN: Package and collaboration networks”. The talk is about what my cranly R package can do and how it can help users and developers understand CRAN better and the position of their (intended) packages within it.
Update (12 July 2019) The slides are available here

A workflow that most probably isn’t yours
http://www.ikosmidis.com/post/blogworkflows/
Tue, 18 Jun 2019 00:00:00 +0000
http://www.ikosmidis.com/post/blogworkflows/
In early 2019, I was invited to give a talk at the Young Researcher’s Meetings of the Department of Statistics at University of Warwick (the place I work). The Young Researchers’ meeting is a weekly seminar for postgraduate students and postdocs to discuss research and exchange ideas.
My immediate thought was to talk about one of my current and exciting research projects. Of course, I know from experience that the talks I have given on research projects I am excited about are not necessarily equally exciting for the audience.

Locationadjusted Wald statistics for scalar parameters appears in CSDA
http://www.ikosmidis.com/post/newslawaldpaper/
Tue, 16 Apr 2019 00:00:00 +0000
http://www.ikosmidis.com/post/newslawaldpaper/
Mean and median bias reduction in generalized linear models appears in Statistics and Computing (joint work with Kenne Pagui E C, and Sartori N) appeared online in Statistics and Computing.

trackeRapp: interface & workflow for running, cycling and swimming data
http://www.ikosmidis.com/post/newstrackerappisout/
Fri, 12 Apr 2019 00:00:00 +0000
http://www.ikosmidis.com/post/newstrackerappisout/
🏃♀️🚴♂️🏊♀️
The first version of our trackeRapp R package is out!
trackeRapp provides the first fully interactive data analysis workflow for your runs, rides and swims! It is completely open source and written in R. Its backend is based on the trackeR R package and the frontend has been developed using the shiny R package.
To launch the trackeRapp interface locally, launch R and then
install.packages("trackeRapp") trackeRapp::trackeRapp() Then, hit “Load” and “Upload sample data set” to see what {trackeRapp} can do!

Mean and median bias reduction in generalized linear models appears in Statistics and Computing
http://www.ikosmidis.com/post/newsmeanmedianpaper/
Mon, 04 Mar 2019 00:00:00 +0000
http://www.ikosmidis.com/post/newsmeanmedianpaper/
Mean and median bias reduction in generalized linear models appears in Statistics and Computing (joint work with Kenne Pagui E C, and Sartori N) appeared online in Statistics and Computing.

cranly: Package and collaboration networks in CRAN
http://www.ikosmidis.com/post/newscranlyoxfordrug2018/
Sat, 03 Nov 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newscranlyoxfordrug2018/
On 5 November 2018, I will be giving a talk at the R user group Oxford about “Package and collaboration networks in CRAN” using my cranly R package.
Update (06 Nov 2018) The slides and the code from my talk are here and here.

trackeR v1.1 is on CRAN
http://www.ikosmidis.com/post/trackerv11/
Mon, 24 Sep 2018 00:00:00 +0000
http://www.ikosmidis.com/post/trackerv11/
The trackeR R package v1.1 is on CRAN. Version 1.1 of the package introduces full support for multisport workouts, numerous new visualisations, vast underthehood enhancements, bug fixes and more.
See NEWS for complete lists of new functionality, enhancements and bug fixes.
The package vignette provides a quick tour on its functionality. More detailed descriptions of the package and its methods, and realdata demonstrations of the package functionality can be found here, which is an updated version of

An R recursion to compute Bartlett relations
http://www.ikosmidis.com/post/blogbartlett/
Sun, 09 Sep 2018 00:00:00 +0000
http://www.ikosmidis.com/post/blogbartlett/
It is one of those times that I am really excited and somewhat obsessed with the current research project I am working on. It is an old idea that after many years going around my head, it seems to be coming close to fruition. This is not the reason I am writing though.
Part of that research project involves heavy usage of the Bartlett relations (or Bartlett identities). The Bartlett relations (see Bartlett 1953, Section 2) are at the core of much of statistical theory and practice.

Modelling outcomes of soccer matches appears in Machine Learning
http://www.ikosmidis.com/post/newssoccerpaper/
Wed, 01 Aug 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newssoccerpaper/
Modelling outcomes of soccer matches (joint work with Tsokos A, Narayanan S, Baio G, Cucuringu M, Whitaker G and Király F J) appeared in Machine learning.

Median bias reduction in randomeffects metaanalysis and metaregression appears in Statistical Methods for Medical Research
http://www.ikosmidis.com/post/newsmedianmetapaper/
Wed, 02 May 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newsmedianmetapaper/
Median bias reduction in randomeffects metaanalysis and metaregression (joint work with Kyriakou S, and Sartori N) appeared online in Statistical Methods in Medical Research.

Turing Data Science Masterclass: 'Scalable regression: old tricks, new era'
http://www.ikosmidis.com/post/newsturing_masterclass/
Tue, 01 May 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newsturing_masterclass/
On 25th May 2018, I will be giving a Turing Data Science Masterclass titled “Scalable regression: old tricks, new era”. Information and registration details can be found here.

Warwick Impact Fund Award
http://www.ikosmidis.com/post/newswarwickimpacyfund/
Fri, 27 Apr 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newswarwickimpacyfund/
I received a Warwick Impact Fund Award to further the impact of my trackeR R package through an publicly accessible, opensource interface.

My cranly R package is on CRAN
http://www.ikosmidis.com/post/newscranlymarch2018/
Wed, 28 Mar 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newscranlymarch2018/
cranly provides comprehensive methods for cleaning up and organising the information in the CRAN package database and for building package directives networks and collaboration networks. See also the package vignettes and the cranly GitHub page for more details.
Take a look at my Software page for the cranly directives network for my R packages and for how to make your own!

My logo is a bivariate density
http://www.ikosmidis.com/post/bloglogo/
Sat, 03 Mar 2018 00:00:00 +0000
http://www.ikosmidis.com/post/bloglogo/
My logo in GitHub (see here) is the contours of the density function of a mixture of bivariate normal distributions (see Figure 1). The idea came to me when I was working on the paper
Kosmidis I and Karlis D (2016). Modelbased clustering using copulas with applications. Statistics and Computing, 26, 1079–1099 DOI ArXiV In that paper, amongst several other things, we introduce the use of rotations of the components of mixtures of copulas to define extremely flexible mixture models.

Associate Editor in Biometrika
http://www.ikosmidis.com/post/newsbiometrika/
Tue, 09 Jan 2018 00:00:00 +0000
http://www.ikosmidis.com/post/newsbiometrika/
I have joined the Editorial Board of Biometrika, serving as an Associated Editor.

trackeR paper appears in JSS
http://www.ikosmidis.com/post/newstrackerpaper/
Tue, 12 Dec 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newstrackerpaper/
trackeR: Infrastructure for running and cycling data from GPSenabled tracking devices in R (joint work with Hannah Frick) appeared online in the Journal of Statistical Software.

Deterministic approximation methods and pseudolikelihoods at BayesComp 2018
http://www.ikosmidis.com/post/newsbayecomp2018/
Sun, 01 Oct 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newsbayecomp2018/
I am organising the session “Deterministic approximation methods and pseudolikelihoods” at BayesComp 2018 (26th  28th March 2018, Barcelona, Spain). The session will consist of talks from Nancy Reid (Univeristy of Toronto, Canada), Helen Ogden (University of Southampton, UK) and Erlis Ruli (University of Padova, Italy).

Speaking at the AUEB Sports Analytics Workshop
http://www.ikosmidis.com/post/newsauebsportsworkshop/
Wed, 16 Aug 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newsauebsportsworkshop/
I have been invited to present at the 2nd AUEB Sports Analytics Workshop in Athens, Greece.

GSE Graduate course: 'Generalized linear models with massive data'
http://www.ikosmidis.com/post/newsbigglm_july17/
Sat, 15 Jul 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newsbigglm_july17/
On 18 and 19 October 2017, I will be giving a course on statistical learning of generalized linear models with massive amounts of data at Barcelona GSE Data Science.

Improved estmation with ordinal data at CEN ISBS 2017 Joint Conference
http://www.ikosmidis.com/post/newscenisbs2017/
Fri, 02 Jun 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newscenisbs2017/
I have been invited to present my work on Improved estimation in cumulative link models at the CEN ISBS 2017 Joint Conference in Vienna, Austria. The talk is on 31 August 2017, 09:30  10:00.
Update (31 August 2017): The slides for the talk are available here.

My brglm2 R package is on CRAN
http://www.ikosmidis.com/post/newsbrglm2/
Thu, 25 May 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newsbrglm2/
brglm2 provides various methods for mean and median bias reduction in the estimation of generalized linear models, along with prefit and postfit methods for the detection of separation and of infinite maximum likelihood estimates in binomial response generalized linear models. See the package vignettes and the brglm2 GitHub page for details.

My enrichwith R package is on CRAN
http://www.ikosmidis.com/post/newsenrichwith/
Thu, 18 May 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newsenrichwith/
enrichwith provides the “enrich” method (verb) to enrich listlike R objects with new, relevant components. The current version can enrich objects of class ‘family’, ‘linkglm’, ‘lm’ and ‘glm’. The package also provides the ‘enriched_glm’ function that results in objects that carry various useful methods for generalized linear models (simulate, observed and expected information matrix, and model densities, probabilities, and quantiles at arbitrary parameter values). See the package vignettes and the enrichwith GitHub page for more details.

Metaregression paper appears in Biometrika
http://www.ikosmidis.com/post/newsmetaanalysispaper/
Tue, 28 Mar 2017 00:00:00 +0000
http://www.ikosmidis.com/post/newsmetaanalysispaper/
Improving the accuracy of likelihoodbased inference in metaanalysis and metaregression (joint work with Annamaria Guolo and Cristiano Varin) appeared online in Biometrika.

GLMs with massive data in Barcelona and at Innsbruck
http://www.ikosmidis.com/post/newsbigglm_november16/
Sat, 12 Nov 2016 00:00:00 +0000
http://www.ikosmidis.com/post/newsbigglm_november16/
I will be giving a course on statistical learning of generalized linear models with massive amounts of data at the Barcelona GSE Data Science (November 2016) and at the Faculty of Economics and Statistics, University of Innsbruck (January 2017).

Inaugural Turing Fellow
http://www.ikosmidis.com/post/newsturing_appointment/
Wed, 05 Oct 2016 00:00:00 +0000
http://www.ikosmidis.com/post/newsturing_appointment/
I have been selected to be one of the inaugural Turing Fellows at the newly founded Alan Turing Institute.

3rd UCL Workshop on the theory of big data
http://www.ikosmidis.com/post/news3rdbigdataworkshop/
Tue, 06 Sep 2016 00:00:00 +0000
http://www.ikosmidis.com/post/news3rdbigdataworkshop/
I am coorganising the 3rd UCL Workshop on the Theory of Big Data (26  28 June 2017, London, UK).

Bias in Parametric Estimation in Top 10 of WIREs Computational Statistics
http://www.ikosmidis.com/post/newsbiasestimation/
Sun, 22 May 2016 00:00:00 +0000
http://www.ikosmidis.com/post/newsbiasestimation/
My article Bias in parametric estimation: reduction and useful sideeffects features in top ten most accessed articles of WIREs Computational Statistics in 2015.

Turing scoping workshop: Data Science for datarich sports
http://www.ikosmidis.com/post/newsturingscopingworkshop/
Fri, 11 Sep 2015 00:00:00 +0000
http://www.ikosmidis.com/post/newsturingscopingworkshop/
The Alan Turing Institute funded the scoping workshop Data Science for datarich sports, which I coproposed (together with David Firth and Anjali Mazumder at Warwick, Richard Samworth at Cambridge, and Kostas Zygalakis at Edinburgh). The workshop will take place on 2 and 3 November 2015. Details can be found here and here.

Modelbased clustering using copulas is in Statistics and Computing
http://www.ikosmidis.com/post/newscopulaspaper/
Wed, 28 Jan 2015 00:00:00 +0000
http://www.ikosmidis.com/post/newscopulaspaper/
Modelbased clustering using copulas with applications appeared online in Statistics and Computing.

GLMs at the 2nd R Spring Court @ AUEB
http://www.ikosmidis.com/post/newsglmsaueb2/
Sat, 03 Jan 2015 00:00:00 +0000
http://www.ikosmidis.com/post/newsglmsaueb2/
On March 2015, I will be giving a course at the 2nd R Spring Course @ AUEB at Athens, Greece.

2nd UCL Workshop on the theory of big data
http://www.ikosmidis.com/post/news2ndbigdataworkshop/
Mon, 06 Oct 2014 00:00:00 +0000
http://www.ikosmidis.com/post/news2ndbigdataworkshop/
I am coorganising the 2nd UCL Workshop on the Theory of Big Data, which will take place in January 2016 in London, UK.

Research contract with English Institute of Sport
http://www.ikosmidis.com/post/newseisproject/
Sun, 05 Oct 2014 00:00:00 +0000
http://www.ikosmidis.com/post/newseisproject/
I will be leading a collaborative project with English Institute of Sport on developing statistical methods for sport performance data. The collaboration includes two year’s funding for the appointment of a Research Associate in Statistics. News item here.

MAPS Faculty Teaching Award
http://www.ikosmidis.com/post/newsmapsteachingaward/
Fri, 29 Aug 2014 00:00:00 +0000
http://www.ikosmidis.com/post/newsmapsteachingaward/
I was awarded the MAPS Faculty Teaching Award in the academic staff category. News items here and here.

Bias in Parametric Estimation paper appears in WIREs Computational Statistics
http://www.ikosmidis.com/post/newsbiasestimationappears/
Thu, 10 Apr 2014 00:00:00 +0000
http://www.ikosmidis.com/post/newsbiasestimationappears/
Bias in parametric estimation: reduction and useful sideeffects appeared in WIRE Computational Statistics.

GLMs at the 1st R Summaer School @ AUEB
http://www.ikosmidis.com/post/newsglmsaueb1/
Fri, 07 Mar 2014 00:00:00 +0000
http://www.ikosmidis.com/post/newsglmsaueb1/
On 2327 June 2015, I will be giving a course on generalized linear models at the 1st R Summer School @ AUEB in Athens, Greece.

Improved estimation in cumulative link models in RSSB
http://www.ikosmidis.com/post/newsimrovedclmappears/
Thu, 27 Feb 2014 00:00:00 +0000
http://www.ikosmidis.com/post/newsimrovedclmappears/
Improved estimation in cumulative link models appeared in the Journal of the Royal Statistical Society: Series B.

Handling nuisance parameters at ERCIM 2014
http://www.ikosmidis.com/post/newshandlingnuisanceparameters/
Wed, 12 Feb 2014 00:00:00 +0000
http://www.ikosmidis.com/post/newshandlingnuisanceparameters/
I am organising the session “Handling nuisance parameters: Advances towards optimal inference in statistics and econometrics” at ERCIM 2014 (6th  8th December 2014, Pisa, Italy).

1st UCL Workshop on the theory of big data
http://www.ikosmidis.com/post/news1stbigdataworkshop/
Mon, 06 Jan 2014 00:00:00 +0000
http://www.ikosmidis.com/post/news1stbigdataworkshop/
I am coorganising the 1st UCL Workshop on the Theory of Big Data (7th  9th January 2015, London, UK).

http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/blob1.0/license/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/blob1.0/license/
Copyright © 2014 Eli Grey.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/blob1.0/readme/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/blob1.0/readme/
Blob.js Blob.js implements the W3C Blob interface in browsers that do not natively support it.

http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/canvastoblob1.0/license/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/canvastoblob1.0/license/
This software is licensed under the MIT license.
MIT license Copyright © 2016 Eli Grey and Devin Samarin.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/canvastoblob1.0/readme/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/canvastoblob1.0/readme/
canvastoBlob.js canvastoBlob.js implements the standard HTML5 canvas.toBlob() and canvas.toBlobHD() methods in browsers that do not natively support it. canvastoBlob.js requires Blob support to function, which is not present in all browsers. Blob.js is a crossbrowser Blob implementation that solves this.
Supported browsers canvastoBlob.js has the same browser support as FileSaver.js.

http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/filesaver1.1.20151003/license/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/filesaver1.1.20151003/license/
Copyright © 2015 Eli Grey.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/filesaver1.1.20151003/readme/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/files/ikosmidis_cranly_user2019/libs/filesaver1.1.20151003/readme/
FileSaver.js FileSaver.js implements the HTML5 W3C saveAs() FileSaver interface in browsers that do not natively support it. There is a FileSaver.js demo that demonstrates saving various media types.
FileSaver.js is the solution to saving files on the clientside, and is perfect for webapps that need to generate files, or for saving sensitive information that shouldn’t be sent to an external server.
Looking for canvas.toBlob() for saving canvases? Check out canvastoBlob.js for a crossbrowser implementation.

Activities
http://www.ikosmidis.com/activities/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/activities/
Leadership and organization of scientific events Theory & Methods Challenge Fortnights in Data Science and Artificial Intelligence Activity Series of scientific events Where The Alan Turing Institute, UK When 03 June 2019  Links TMCF webpage Greek Stochastics \(\lambda\)’: Stochastic Processes and Computation Activity Workshop Where Corfu, Greece When 2729 August 2019 Links Greek Stochastics \(\lambda\)’ Greek Stochastics \(\kappa\)’: Statistical Learning Activity Workshop Where Athens, Greece When 1922 December 2018 Links Greek Stochastics \(\kappa\)’ Deterministic approximation methods and pseudolikelihoods Activity BayesComp 2018 invited session Where Barcelona, Spain When 27 March 2018 Links BayesComp 2018 Greek Stochastics \(\iota\)’: Model determination Activity Workshop Where Milos, Greece When 1417 July 2017 Links Greek Stochastics \(\iota\)’ Statistics in Sports and Health 2016 meetup series Activity Statistics in Sport and Health group meetup Where London, UK When November and December 2016 3rd UCL Workshop on the Theory of Big Data Activity Workshop Where London, UK When 2628 June 2017 Links Theory of Big Data workshop Greek Stochastics \(\theta\)’: Big Data and Models Activity Workshop Where Tinos, Greece When 1013 July 2016 Links Greek Stochastics \(\theta\)’ 2nd UCL Workshop on the Theory of Big Data Activity Workshop Where London, UK When 68 January 2016 Links Theory of Big Data workshop Data Science for Datarich Sports Activity The Alan Turing Institute Scoping Workshop Where London, UK When 23 November 2015 Links Data Science for Datarich Sports 1st UCL Workshop on the Theory of Big Data Activity Workshop Where London, UK When 79 January 2015 Links Theory of Big Data workshop Handling nuisance parameters: Advances towards optimal inference in Statistics and Econometrics Activity ERCIM 2014 invited session Where Pisa, Italy When 6 December 2014 Links ERCIM 2014 ImperialUCL Joint Statistics Symposium Activity Workshop Where Imperial College London, London, UK When 10 September 2012 Links ImperialUCL Joint Statistics Symposium useR!

Contact
http://www.ikosmidis.com/contact/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/contact/
Contact details Email var name = 'ioannis.kosmidis'; var at = '@'; var subdomain = ''; var domain = 'warwick.ac.uk'; document.write(name + at + subdomain + domain); Voice +44 (0) 24 7652 4402
Office hours for Term 2 My office hours in Term 2 will take place virtually in Microsoft Teams. If you want to speak with me, then:
1: Visit http://teams.microsoft.com.
2: Login using your Warwick credentials.

Research
http://www.ikosmidis.com/research/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/research/
Interests My core research interests are in the theory and methodology of statistical learning and inference, and, in particular, in penalized and pseudolikelihood theory and methods, statistical computing and algorithms for regression problems and methods for clustering.
I also engage in interdisciplinary applied work of the kind that involves a real synthesis of approaches and has the potential to generate new advances in statistical learning and inference with broader impact.

Service
http://www.ikosmidis.com/service/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/service/
Editorial service Associate Editor for Biometrika 2018present
Associate Editor for Journal of Statistical Software 2011present
Associate Editor for Statistics and Computing 20132019
Membership of professional societies and committees Committee Member for Royal Statistical Society’s Research Section 2021present
Committee Member for Royal Statistical Society’s Statistics in Sport Section 2016present
Fellow of Royal Statistical Society 2007present

Software
http://www.ikosmidis.com/software/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/software/
Software library("fortunes") fortune("statistical thinking") ## ## It is all too easy for statistical thinking to be swamped by programming tasks. ##  Brian D. Ripley ## DSC 2001, Wien (March 2001) fortune("cosmic radiation") ## ## You say yourself it wasn't reproducible. So it could have been anything that ## "crashed" your R, cosmic radiation, a bolt of lightning reversing a bit in your ## computer memory, .

Supervision
http://www.ikosmidis.com/supervision/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/supervision/
 Prospective PhD students and PostDoc researchers I am actively looking for PhD students and PostDoc researchers with strong mathematical, statistical or computational backgrounds to join my group. Feel free to contact me directly if you are interested in doing a PhD with me as your supervisor or if you are interested in doing postdoctoral work with me. Please include a CV, a brief research statement, and an outline of the reasons you want to work with me.

Talks and Seminars
http://www.ikosmidis.com/talks/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/talks/
Upcoming and past talks {"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addProviderTiles","args":["CartoDB.Positron",null,null,{"errorTileUrl":"","noWrap":false,"detectRetina":false}]},{"method":"addLegend","args":[{"colors":["#ef3b2c","#737373"],"labels":["= 2021","Ioannis Kosmidis Title: Reducedbias estimation of models with ordinal responsesEvent: Workshop on Challenges for Categorical Data AnalysisInstitution: RWTH Aachen UniversityDate & Time: Mon 22102018 14:3015:00",null,null,{"interactive":false,"permanent":true,"direction":"auto","opacity":1,"offset":[0,0],"textsize":"10px","textOnly":false,"className":"","sticky":true},null]},{"method":"addCircleMarkers","args":[[37.994334,37.977117,37.994334,37.994334,37.994334],[23.732489,23.755195,23.732489,23.732489,23.732489],10,null,"Athens",{"interactive":true,"className":"","stroke":true,"color":["#ef3b2c","#737373","#737373","#737373","#737373"],"weight":5,"opacity":0.5,"fill":true,"fillColor":["#ef3b2c","#737373","#737373","#737373","#737373"],"fillOpacity":0.5},{"showCoverageOnHover":true,"zoomToBoundsOnClick":true,"spiderfyOnMaxZoom":true,"removeOutsideVisibleBounds":false,"spiderLegPolylineOptions":{"weight":1.5,"color":"#222","opacity":0.5},"freezeAtZoom":false},null,["Presenter: Ioannis Kosmidis Title: Improved estimation of partiallyspecified modelsEvent: Seminar seriesInstitution: Athens University of Economics and BusinessDate & Time: Wed 24032021 11:3012:30","Presenter: Ioannis Kosmidis Title: Availabilitytotrain in elite sportEvent: MathSport International 2019Institution: Date & Time: Mon 01072019 16:4017:40"

Teaching
http://www.ikosmidis.com/teaching/
Mon, 01 Jan 0001 00:00:00 +0000
http://www.ikosmidis.com/teaching/
Teaching activity Regression modelling with large data sets Where University of Padova, Italy  Barcelona GSE Data Science, Spain  University of Innsbruck, Austria When 1718 September 2020 (Padova)  910 May 2018 (Padova)  1819 October 2017 (GSE)  30 January  1 February 2017 (Innsbruck)  2728 October 2016 (GSE)  1213 November 2015 (GSE) Level Graduate and PhD Scalable regression: old tricks, new era Where The Alan Turing Institute, UK When 25 May 2018 Level PhD Type Turing Data Science Masterclass Links Information and registration here Generalized linear models with large data sets Where University of Warwick, UK When 2nd term of 20172018  2nd term of 20182019 Level Undergraduate Type University of Warwick module ST329 Links University of Warwick pages (restricted access) Linear and generalized linear models Where R Summer School @ AUEB, Athens University of Economics and Business, Greece When 2730 March 2015  2327 June 2014 Level Graduate Type Summer school Linear models and the analysis of variance Where UCL, UK When 1st term of 20102011  1st term of 20112012  1st term of 20122013  1st term of 20132014  1st term of 20142015  1st term of 20152016 Level Undergraduate Type UCL module STAT2002/STAT7101 Links UCL Moodle (restricted access) Introduction to practical Statistics Where UCL, UK When 2nd term of 20102011 Level Undergraduate Type UCL module STAT1006 Links UCL Moodle (restricted access) Proportional odds models Where UCL, UK When 1st term of 20132014  1st term of 20142015 Level Undergraduate and Graduate Type UCL module STATG021/STATM021 Links UCL Moodle (restricted access) Introduction to significance tests Where UCL, UK When 1st term of 20112012  1st term of 20122013  1st term of 20132014  1st term of 20142015  1st term of 20152016 Level Graduate Type UCL module STATG000 Links UCL Moodle (restricted access) Asymptotic Statistics Where University of Warwick, UK When 1st term of 20092010 Level Undergraduate and Graduate Type University of Warwick module ST414 Links Module materials