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0 votes
0 answers
13 views

Understanding relation of 2 dependent, integral equations which are nested in a Bayesian Expectation

I'm trying hard to try understand the recursive nature between two equations in a recent macroeconomics paper, but my question mainly relates to how mathematically such recursive equations can depend ...
Justin Lee's user avatar
1 vote
0 answers
35 views

Estimation of probability matrix from samples at different time intervals

I am given discrete-time Markov chain that evolves on a finite subset $\{1,\dots,n\}$. This Markov chain is time-homogeneous and has a transition matrix $P$ that I want to estimate. Let $X_t$ be the ...
N. Gast's user avatar
  • 552
1 vote
0 answers
46 views

Bounding Hidden Markov model Bayesian filter error with inexact models

In context of a hidden Markov model, I am interested in bounding the error of a Bayesian filter when using inexact state transition and observation models. Consider a hidden Markov model (HMM) with ...
mikkola's user avatar
  • 171
1 vote
0 answers
92 views

Simultaneous multiple perturbations in Markov chain Monte Carlo

I'm coding a McMC algorithm for geophysical applications. Using the Metropolis-Hastings scheme to accept/reject the proposed models is smth that i thought i completely understood, but i don't. To be ...
Francesco's user avatar
1 vote
1 answer
165 views

Continuous-time Markov chain to sample Bayesian posterior distribution

Given a Bayesian network and evidence for the values of a subset of the variables, a standard question is to compute the posterior distribution on the remaining variables. The Gibbs sampling technique ...
Jamie Vicary's user avatar
  • 2,453