Concept

Posterior probability

Related publications (279)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Posterior probability

Graph Chatbot

Chat with Graph Search

Pairwise Comparisons with Flexible Time-Dynamics

Generalized maximum entropy estimation

Particle transport at arbitrary timescales with Poisson-distributed collisions

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes

Comparing methodologies for structural identification and fatigue life prediction of a highway bridge

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

Stochastic vs. sensitivity-based integral parameter and nuclear data adjustments

Expectation propagation in the large data limit

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Comparing methodologies for structural identification and fatigue life prediction of a highway bridge

Generalized maximum entropy estimation

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes

Expectation propagation in the large data limit

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Pairwise Comparisons with Flexible Time-Dynamics

Particle transport at arbitrary timescales with Poisson-distributed collisions

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

Stochastic vs. sensitivity-based integral parameter and nuclear data adjustments

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus