Introduction to Applied Probability
portes grátis
Introduction to Applied Probability
Bremaud, Pierre
Springer International Publishing AG
06/2024
492
Dura
9783031493058
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Preface.- Basic Notions.- Discrete Random Variables.- Continuous Random Vectors.- The Lebesgue Integral.- From Integral to Expectation.- Convergence Almost Sure.- Convergence in Distribution.- Martingales.- Markov Chains.- Poisson Processes.- Brownian Motion.- Wide-sense Stationary Processes.- A Review of Hilbert Spaces.- Bibliography.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Probability textbook;Markov chains;Discrete random variables;Random vectors;Convergence of random variables;Conditional expectation;Continuous-time stochastic processes;Brownian motion;Wiener process;Stochastic integral;Markov fields;Simulation algorithm;Poisson processes;Wide-sense stationary processes;Martingales
Preface.- Basic Notions.- Discrete Random Variables.- Continuous Random Vectors.- The Lebesgue Integral.- From Integral to Expectation.- Convergence Almost Sure.- Convergence in Distribution.- Martingales.- Markov Chains.- Poisson Processes.- Brownian Motion.- Wide-sense Stationary Processes.- A Review of Hilbert Spaces.- Bibliography.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Probability textbook;Markov chains;Discrete random variables;Random vectors;Convergence of random variables;Conditional expectation;Continuous-time stochastic processes;Brownian motion;Wiener process;Stochastic integral;Markov fields;Simulation algorithm;Poisson processes;Wide-sense stationary processes;Martingales
