How Clear Probabilistic Models Can Strengthen Intelligent Systems in an Uncertain World

Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...
PBS

Can a Chess Piece Explain Markov Chains?

In this episode probability mathematics and chess collide. In this episode probability mathematics and chess collide. What is the average number of steps it would take before a randomly moving knight ...
inc42

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 ...
JSTOR Daily

DUALITY AND INTERTWINING FOR DISCRETE MARKOV KERNELS: RELATIONS AND EXAMPLES

We supply some relations that establish intertwining from duality and give a probabilistic interpretation. This is carried out in the context of discrete Markov chains, fixing up the background of ...
JSTOR Daily

Several Types of Ergodicity for M/G/1-type Markov Chains and Markov Processes

In this paper we study polynomial and geometric (exponential) ergodicity for M/G/1-type Markov chains and Markov processes. First, practical criteria for M/G/1-type Markov chains are obtained by ...