JSTOR Daily

On the Distributions of Bootstrap Support and Posterior Distributions for a Star Tree

This is a preview. Log in through your library . Abstract Several authors have recently noted that when data are generated from a star topology, posterior probabilities can often be very large, even ...
JSTOR Daily

UNIFORM CONVERGENCE OVER TIME OF A NESTED PARTICLE FILTERING SCHEME FOR RECURSIVE PARAMETER ESTIMATION IN STATE-SPACE MARKOV MODELS

We analyse the performance of a recursive Monte Carlo method for the Bayesian estimation of the static parameters of a discrete-time state-space Markov model. The algorithm employs two layers of ...
Investopedia

Probability Distribution: Definition, Types, and Uses in Investing

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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What Is Markov Chain Monte Carlo (MCMC)? Here’s All You Need to Know

What Is Markov Chain Monte Carlo? Markov Chain Monte Carlo (MCMC) is a powerful technique used in statistics and various scientific fields to sample from complex probability distributions. It is ...
Investopedia

Discrete Probability Distribution: Overview and Examples

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Eric's career includes extensive work in both public and ...