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Stochastic Modeling and Its Applications
1
Efficiently track income and expenses.
108 pages for ample recording space.
8.5" x 11" size for easy handling.
Organized three-column format simplifies bookkeeping.
Ideal for small businesses and personal use.
Enhances financial literacy and decision-making.
Cost-effective solution for financial management.
Average Rating out of 5:
Price Range: $6.99
2
Explores misapplication of statistical techniques.
Focuses on fat-tailed distributions and remedies.
Challenges conventional asymptotics in real-world applications.
Examines idiosyncratic behaviors under medium number laws.
Addresses sample mean's misalignment with population mean.
Highlights failures in financial and behavioral economics.
First volume of the Technical Incerto series.
Average Rating out of 5:
Price Range: $16.95
3
Comprehensive introduction to probability and statistics.
Applicable to engineering, science, and finance fields.
Covers random experiments and probability axioms.
Includes random variables and moment-generating functions.
Introduces Bayesian and classical statistics concepts.
Explores Markov chains and random processes.
Simulation examples using MATLAB, R, and Python.
Average Rating out of 5:
Price Range: $37.95
4
Intuitive understanding of probability and statistics.
Real-life examples and data enhance learning.
Numerous quick exercises for immediate feedback.
Over 350 exercises with answers and solutions.
Access to data files and additional solutions online.
Suitable for students with basic calculus knowledge.
Covers modern methods beyond traditional statistics.
Average Rating out of 5:
Price Range: $28.49
5
Comprehensive introduction to probability theory.
Balance between precision and intuitive understanding.
Avoids excessive technical details for clarity.
Covers key theorems: law of large numbers.
Introduces probability distributions through real applications.
Combines discrete and continuous probability concepts.
Designed for students with calculus background.
Average Rating out of 5:
Price Range: $62.53
6
Explores baseball's statistical evolution and significance.
Details sabermetrics' rise from amateur to professional.
Highlights Bill James' impact on baseball management.
Includes updated analysis and insights from experts.
Engaging for fans and scholars alike.
Enhances understanding of chance in baseball outcomes.
Revised paperback edition of a classic work.
Average Rating out of 5:
Price Range: $19.79
7
Comprehensive introduction to stochastic calculus for finance.
Includes binomial asset pricing model for clarity.
Accessible for advanced undergraduates and master's students.
Self-contained probability theory coverage included.
Classroom-tested exercises for practical application.
Intuitive explanations enhance understanding of complex concepts.
Written by a leading expert in finance education.
Average Rating out of 5:
Price Range: $59.40
8
Comprehensive guide to stochastic processes for graduates.
Focus on Brownian motion as a key example.
Develops stochastic integration and calculus theory.
Includes martingale and Markov process discussions.
Explores financial economics applications and optimization.
Detailed analysis of stochastic differential equations.
Features numerous problems and exercises for practice.
Average Rating out of 5:
Price Range: $39.36
9
Comprehensive introduction to probability theory.
Balances mathematical precision with intuitive understanding.
Covers essential probability distributions effectively.
Integrates discrete and continuous probability concepts.
Designed for students with calculus knowledge.
Focuses on practical applications and problem-solving.
Explains key theorems like law of large numbers.
Average Rating out of 5:
Price Range: $65.82
10
Learn traditional and advanced forecasting techniques.
Build machine learning models for time series.
Enhance predictions with deep learning architectures.
Explore probabilistic forecasting with practical examples.
Ideal for data scientists and analysts.
Includes hands-on projects and industry insights.
Free eBook with purchase for convenient learning.
Average Rating out of 5:
Price Range: $44.17
11
Introduction to stochastic portfolio theory for professionals.
Theoretical and practical applications in finance.
Construct stock portfolios using mathematical methodologies.
Analyze portfolio behavior with capital distribution changes.
Includes problems with varying difficulty levels.
Written by a seasoned investment professional.
Accessible for students of mathematical finance.
Average Rating out of 5:
Price Range: $90.79
12
Comprehensive guide to stochastic calculus in finance.
Ideal for master's students and researchers.
Includes intuitive explanations and proofs.
Covers advanced topics like exotic options.
Focuses on continuous-time financial models.
Self-contained probability theory treatment included.
Developed from Carnegie Mellon’s Computational Finance program.
Average Rating out of 5:
Price Range: $64.58
13
Elementary introduction to measure and integration theory.
Covers analysis, probability, and mathematical physics.
Explores core ideas of measure and integration.
Includes martingales for advanced theoretical development.
New chapters on Hausdorff measures and Fourier analysis.
Over 400 exercises with full solutions available online.
Suitable for undergraduate courses and self-study.
Average Rating out of 5:
Price Range: $42.74
14
Bridges queueing theory with computer systems design.
Presents real-world problems for practical understanding.
Includes over 300 exercises for hands-on learning.
Accessible to undergraduates; rigorous for advanced readers.
Offers intuitive insights into complex design choices.
Covers energy-delay trade-offs in system design.
Encourages innovation in system modeling and analysis.
Average Rating out of 5:
Price Range: $59.43
15
Explores the fascinating world of randomness.
Written by acclaimed math author Ivars Peterson.
Reveals hidden patterns in apparent chaos.
Discusses probability and games of chance.
Insights into randomness in everyday life.
Accessible for readers of all backgrounds.
Engaging and informative mathematical adventure awaits.
Average Rating out of 5:
Price Range: $3.25
16
Learn traditional and advanced forecasting techniques.
Enhance accuracy with machine learning models.
Explore deep learning architectures like RNNs and transformers.
Master probabilistic forecasting with conformal prediction.
Practical examples for real-world applications.
Includes eBook in PDF format with purchase.
Average Rating out of 5:
Price Range: $41.96
17
Comprehensive guide on interest rate models.
Expanded calibration techniques for LIBOR market models.
New sections on local and stochastic volatility.
Focus on pricing inflation-linked derivatives.
Includes real market data calibration examples.
Discusses Credit Derivatives and related techniques.
Addresses counterparty risk in valuation processes.
Average Rating out of 5:
Price Range: $147.08
18
Comprehensive introduction to Stochastic Partial Differential Equations.
Covers theory driven by space-time Brownian motion.
Emphasizes applications in finance and fluid flow.
Includes useful exercises at the end of chapters.
Ideal for graduate students and researchers.
Second edition builds on first edition's foundation.
Focus on Lévy process noise applications.
Average Rating out of 5:
Price Range: $50.19
19
Comprehensive workbook on linear optimization techniques.
Focuses on Simplex Algorithm for problem-solving.
Ideal for undergraduate mathematics students.
Clarifies misconceptions about linear programming terminology.
Explores mathematics behind optimizing linear functions.
Historical context of the term 'programming' explained.
Engaging exercises to enhance understanding of concepts.
Average Rating out of 5:
Price Range: $89.99
20
Award-winning textbook in probability models.
Comprehensive foundation for various disciplines.
Includes hallmark exercises and real-world examples.
New coverage on Martingales for advanced study.
Suitable for undergraduate and graduate courses.
Trusted resource for over four decades.
Organized for ease of understanding and teaching.
Average Rating out of 5:
Price Range: $67.95
21
Comprehensive introduction to probability and stochastics.
Theoretical focus on stochastic processes and applications.
First chapters cover measure, integration, and probability spaces.
Includes examples and exercises for practical understanding.
Based on Princeton University lecture notes by Erhan Cinlar.
Award-winning teacher with extensive research experience.
Lucid writing style with deep insights into probability.
Average Rating out of 5:
Price Range: $65.71
22
Comprehensive coverage of probability and random processes.
Applications in signal processing and communications industries.
Unique chapters on narrowband random processes included.
Explores simulation techniques for practical applications.
Numerous worked problems enhance understanding and readability.
Accessible for graduate students and practicing engineers.
Real-world examples connect theory and practical usage.
Average Rating out of 5:
Price Range: $68.20
23
Comprehensive overview of stochastic calculus for fBm.
Explores applications in various scientific fields.
Thoroughly explains stochastic integration definitions for fBm.
Highlights relationships between different stochastic calculus approaches.
Assumes familiarity with probability and stochastic analysis.
Includes appendices on white noise and fractional calculus.
Valuable reference for students and researchers alike.
Average Rating out of 5:
Price Range: $112.02
24
Rigorous introduction to equilibrium statistical mechanics.
Covers Curie–Weiss and Ising models extensively.
Explains Gibbs measures and phase transitions clearly.
Includes exercises with detailed solutions for practice.
Self-contained course for advanced students and researchers.
Accessible explanations of complex mathematical concepts.
Handy reference for related research areas.
Average Rating out of 5:
Price Range: $59.38
25
Gentle introduction to probability theory.
Focus on finite probability spaces.
Explores card and casino game strategies.
Real-world applications in various fields.
Engaging stories and entertaining anecdotes.
Perfect for students and teachers alike.
Clear explanations with relatable examples.
Price Range: $64.91
26
Introduces fundamental concepts of modern probability theory.
Prerequisite knowledge: working knowledge of real analysis.
Covers martingales, Markov chains, and Brownian motion.
Three parts: measure theory, probability concepts, stochastic processes.
Includes illuminating exercises of varying difficulty.
Appendix covers basic functional analysis facts.
Ideal for thorough understanding of basic probability theory.
Average Rating out of 5:
Price Range: $68.05
27
Covers broad statistics topics beyond typical introductions.
Ideal for graduate and advanced undergraduate students.
Includes modern methods like bootstrapping and classification.
No prior statistics knowledge needed for readers.
Presumes understanding of calculus and linear algebra.
Perfect for data science and machine learning enthusiasts.
Concise yet comprehensive course in statistical inference.
Average Rating out of 5:
Price Range: $50.00
28
Master key concepts of probability and statistics.
Learn to summarize and analyze data effectively.
Understand risk types and management strategies.
Enhance decision-making with probability insights.
Improve customer experience through predictive analysis.
Gain a competitive edge in business.
Optimize operations using statistical methods.
Average Rating out of 5:
Price Range: $18.97
29
Covers major developments in stochastic global optimization.
Discusses global random search methodologies and algorithms.
Focuses on probabilistic assumptions for objective functions.
Mathematically precise while simplifying complex details.
Emphasizes continuous finite-dimensional optimization problems.
Highlights recent advancements in the optimization field.
Less focus on extensively documented topics like genetic algorithms.
Price Range: $79.76
30
Comprehensive study of meta heuristic algorithms.
Focus on time-consuming optimization problems.
Applications in distributed computing and predictive modeling.
Utilizes Artificial Neural Networks for financial predictions.
Includes genetic algorithms for combinatorial problem-solving.
Optimizes symbol distributions in gaming machines.
Essential resource for computer science researchers.
Price Range: $9.64
