Stickers

At the statistics day we will use the interests tags instead of the name tags. Just take a pictures representing the topics you are interested in and stick it to yourself!

General interest tags: badges - копия (2) Computations, mathematics and applications. Application tags: badges - копия Include a lot of different things like ecology, design making, big data, classification, bioinformatics, social networks, medicine. Method tags: badges for people applying specific computational methods: MCMC, INLA, ABC, Particle Filters, Gaussian Processes,  Likelihood-free inference. Have we forgotten something? Please remind us! (These pictures free to use if you would like to organize name tags on your own seminar)

UPD: added two application tags: Bayesian networks and brains.

Here is the pdf version for print

Stickers

Final list of speakers

45 min talks:

Arto Klami and Antti Honkela: Probabilistic inference for big data

Antti Honkela: Fast and accurate approximate inference of transcript expression from RNA-sequencing data

Michael Gutmann: Likelihood-Free Inference: Basics, Problems, and
Solutions

20-30 min talks:

Sotiris Tasoulis: Random projection based clustering for population genomics

Janne Leppä-Aho: Pseudo-likelihood

Mikhail Shubin: Visualization of uncertainty

Jussi Jousimo: Estimating abundance from large-scale low-density track-counts

Bjarke Mølgaard: Inference of aerosol particle size distributions using a Gaussian Process model – A new inversion algorithm for the Differential Mobility Particle Sizer

Kaie Kubjas: Fixed Points of the EM Algorithm and Nonnegative Rank Boundaries

Simo Särkkä: Stochastic Processes in Uncertainty Modeling: Bayesian Filtering and Smoothing

Informal Discussion: Statistics in Finland

Final list of speakers

Preliminary list of speakers

(keynote) Arto Klami and Antti Honkela: Probabilistic inference for big data

Antti Honkela: Fast and accurate approximate inference of transcript expression from RNA-sequencing data

Sotiris Tasoulis: Random projection based clustering for population genomics

Janne Leppä-Aho: Pseudo-likelihood

Mikhail Shubin: Visualization of uncertainty

Jussi Jousimo: Estimating abundance from large-scale low-density track-counts

Bjarke Mølgaard: Inference of aerosol particle size distributions using a Gaussian Process model – A new inversion algorithm for the Differential Mobility Particle Sizer

Kaie Kubjas: Fixed Points of the EM Algorithm and Nonnegative Rank Boundaries

Panel Discussion: Statistics in Finland

These are the talks that have been confirmed so far, there’s still slots for a couple of talks, don’t hesitate to propose one

Preliminary list of speakers