Helsinki

Brains and computers are alike as statistical inference engines

Luigi Acerbi develops new methods for approximate Bayesian inference that are both tools for artificial intelligence and models of human intelligence. “We develop new “smart” machine learning methods, ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
JSTOR Daily

Bayesian inference for the mixed conditional heteroskedasticity model

We estimate by Bayesian inference the mixed conditional heteroskedasticity model of Haas et al. (2004a Journal of Financial Econometrics 2, 211–50). We construct a Gibbs sampler algorithm to compute ...
理化学研究所

[16th AIP Open Seminar] Talks by Approximate Bayesian Inference Team

RIKEN AIP houses more than 40 research teams ranging from fundamentals of machine learning and optimization, applications in medicine, materials, and disaster, to analysis of ethics and social impact ...
TMCnet

World's First: AutoStatSpectra, Software That Automates Spectral Analysis with Bayesian Statistics, Launches a 7-Day Free Trial -- a.s.ist Inc.

a.s.ist today announced the launch of a 7-day free trial for AutoStatSpectra, its Bayesian-statistics-based spectral analysis ...
technologynetworks

An Introduction to Bayesian Statistics

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...
Helsinki

Postdoc position in Probabilistic Machine Learning and Amortized Inference

The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for a Postdoctoral Researcher in Probabilistic Machine Learning and Amortized Inference. The is an ...