Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this ...

Abstract: This chapter provides a brief introduction to the concepts and foundations of the theory of probability and stochastic processes and methods of state estimation. A collection of random ...

Sample space, Field and Probability Measure. Axiomatic definition of Probability. Bayes' theorem. Repeated trials. Continuous and discrete random variables and their probability distribution and ...

BayesianMLEstimation: Implementation of a Bayesian MMSE MLE estimators. Estimators are tested on various systems such as Rayleigh distributions and BPSK signals with interference. Results are ...

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...

ABSTRACT: “Consanguinity” is a gender-neutral term for “fraternity” or “sorority.” Initially a consanguinity includes M male members and F female members. Each week a member, chosen at random, selects ...

Branching processes in random environments constitute a significant class of stochastic models designed to capture the interplay between intrinsic reproductive dynamics and extrinsic environmental ...

Modelling done in python and using Probability and Random Process. Our basic idea is to quantify Chances of schizophrenia and it's chances simple concepts of Probability and Random Process and basic ...

We study the asymptotic behaviour of the probability of non-extinction of a critical multi-type Galton–Watson process in i.i.d. random environments by using limit theorems for products of positive ...