**This stats day is over, thanks everyone for participation!**

# The final schedule

# 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:** Computations, mathematics and applications. **Application tags:** Include a lot of different things like ecology, design making, big data, classification, bioinformatics, social networks, medicine. **Method tags:** 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**

# 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**

# 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

# Time to register!

Registration form is now ready. Registration is not compulsory, but it will help us to organize the event