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{ "item_title" : "Stochastic Processes & Applied Probability", "item_author" : [" Mir Hossain "], "item_description" : "Master stochastic processes beyond the basics-with clarity, rigor, and real understanding.Stochastic Processes & Applied Probability: Volume 2 is a carefully structured second course designed for college and university students, engineers, quantitative analysts, and self-learners ready to move beyond introductory probability and Markov chains into the deeper mathematics of stochastic modeling.Building directly on foundational probability and stochastic-process concepts, this volume develops the theory and applications of renewal processes, martingales, Brownian motion, stochastic calculus, stochastic differential equations, diffusion models, filtering, and simulation in a clear and accessible style.Unlike many advanced probability texts that assume heavy mathematical maturity and skip intermediate reasoning, this book emphasizes step-by-step learning, intuition, and mastery through worked examples while maintaining mathematical rigor.Inside this volume, you will learn:- Renewal theory and long-run stochastic behavior- Renewal functions and the elementary renewal theorem- Age, residual life, and the inspection paradox- Martingales and conditional expectation as working tools- Filtrations, stopping times, and optional stopping- Martingale convergence and inequalities- Brownian motion and sample-path behavior- The It integral and stochastic integration- It 's formula and stochastic calculus- Stochastic differential equations (SDEs)- Diffusions and the Fokker-Planck equation- Hidden Markov models and filtering methods- Stochastic simulation and computational probabilityThis book features:Clear explanations with minimal unnecessary abstractionFully worked examples throughoutDiagnostic reviews and prerequisite checksCommon-trap and mistake-prevention sectionsPractice, Apply, and Challenge problem setsStep-by-step solutionsFormula summaries and reference materialSelf-study and classroom-friendly organizationWhether you are studying probability, applied mathematics, statistics, quantitative finance, machine learning, operations research, engineering, or stochastic modeling, this book provides a rigorous yet approachable pathway into modern stochastic processes and applied probability.Volume 2 continues the journey from foundational stochastic models to the powerful tools used in contemporary science, engineering, finance, and data-driven systems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/819/963/9798199634793_b.jpg", "price_data" : { "retail_price" : "33.00", "online_price" : "33.00", "our_price" : "33.00", "club_price" : "33.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Processes & Applied Probability|Mir Hossain

Stochastic Processes & Applied Probability : A Second Course: Renewal, Martingales, and Stochastic Calculus Volume 2

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Overview

Master stochastic processes beyond the basics-with clarity, rigor, and real understanding.

Stochastic Processes & Applied Probability: Volume 2 is a carefully structured second course designed for college and university students, engineers, quantitative analysts, and self-learners ready to move beyond introductory probability and Markov chains into the deeper mathematics of stochastic modeling.

Building directly on foundational probability and stochastic-process concepts, this volume develops the theory and applications of renewal processes, martingales, Brownian motion, stochastic calculus, stochastic differential equations, diffusion models, filtering, and simulation in a clear and accessible style.

Unlike many advanced probability texts that assume heavy mathematical maturity and skip intermediate reasoning, this book emphasizes step-by-step learning, intuition, and mastery through worked examples while maintaining mathematical rigor.

Inside this volume, you will learn:

- Renewal theory and long-run stochastic behavior
- Renewal functions and the elementary renewal theorem
- Age, residual life, and the inspection paradox
- Martingales and conditional expectation as working tools
- Filtrations, stopping times, and optional stopping
- Martingale convergence and inequalities
- Brownian motion and sample-path behavior
- The It integral and stochastic integration
- It 's formula and stochastic calculus
- Stochastic differential equations (SDEs)
- Diffusions and the Fokker-Planck equation
- Hidden Markov models and filtering methods
- Stochastic simulation and computational probability

This book features:

Clear explanations with minimal unnecessary abstraction
Fully worked examples throughout
Diagnostic reviews and prerequisite checks
Common-trap and mistake-prevention sections
Practice, Apply, and Challenge problem sets
Step-by-step solutions
Formula summaries and reference material
Self-study and classroom-friendly organization

Whether you are studying probability, applied mathematics, statistics, quantitative finance, machine learning, operations research, engineering, or stochastic modeling, this book provides a rigorous yet approachable pathway into modern stochastic processes and applied probability.

Volume 2 continues the journey from foundational stochastic models to the powerful tools used in contemporary science, engineering, finance, and data-driven systems.

This item is Non-Returnable

Details

  • ISBN-13: 9798199634793
  • ISBN-10: 9798199634793
  • Publisher: Independently Published
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 0.35 inches
  • Shipping Weight: 0.5 pounds
  • Page Count: 164

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