Stochastic Processes Actuarial Applications by Ike Oluchi (14 results)
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Published by Amazon Digital Services LLC - Kdp, 2025
Series: Book 3 of 10 - Actuary Mastery Series II – The Advanced Collection
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Series: Book 3 of 10 - Actuary Mastery Series II – The Advanced Collection
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- Softcover
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Published by Independently Published, 2025
Series: Book 3 of 10 - Actuary Mastery Series II – The Advanced Collection
- Softcover
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Taschenbuch. Condition: Neu. Neuware - Stochastic processes lie at the heart of actuarial science. They provide the mathematical language for describing systems that evolve randomly over time-claims arriving at unpredictable intervals, lives transitioning between health states, portfolios exposed to shifting financial risks. For… actuaries, the mastery of these processes is not an academic luxury, but a practical necessity.
Language: English
Published by Independently published, 2025
Series: Book 3 of 10 - Actuary Mastery Series II – The Advanced Collection
- Softcover
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- Softcover
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Paperback. Condition: new. Paperback. Stochastic processes play a central role in actuarial science, providing the mathematical foundation for modeling uncertainty in insurance, pensions, finance, and risk management. Actuaries work in a world where randomness is not an obstacle but a feature-claims arrive unpredictably, lifetim…es follow uncertain paths, and risks evolve dynamically over time. To capture these realities, probability theory must extend beyond simple distributions to processes that evolve across time and states.This book, Stochastic Processes for Actuarial Applications, is designed to bridge the gap between rigorous probability theory and its practical use in actuarial modeling. It explores key stochastic frameworks such as Poisson processes, Markov chains, renewal processes, and diffusion models, showing how they are applied to claims modeling, mortality projections, survival models, ruin theory, and risk evaluation.The intent is twofold: To provide a solid theoretical foundation-each stochastic model is introduced with mathematical precision, ensuring the reader understands the underlying structure.To highlight actuarial applications-through worked examples, case studies, and practical illustrations, readers will see how abstract theory directly connects to pricing, reserving, solvency assessment, and capital modeling.This book is intended for actuarial students, professionals preparing for advanced exams, and researchers seeking to deepen their understanding of probability-driven modeling techniques in actuarial contexts. A strong background in undergraduate probability and statistics will be helpful, though the text builds concepts step by step.My hope is that this work empowers readers not only to pass examinations but also to develop an intuitive and applied mastery of stochastic processes. By blending theory with practice, actuaries can make more informed decisions in a world where uncertainty is the only constant.- Oluchi Ike This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Independently Published, 2025
Series: Book 3 of 10 - Actuary Mastery Series II – The Advanced Collection
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Stochastic processes lie at the heart of actuarial science. They provide the mathematical language for describing systems that evolve randomly over time-claims arriving at unpredictable intervals, lives transitioning between health states, portfolios exposed to shifting financial risks. For…actuaries, the mastery of these processes is not an academic luxury, but a practical necessity. This book, the third installment in the Actuary Mastery Series II - The Advanced Collection, explores Markov chains, Poisson processes, and related models with a sharp focus on their actuarial applications. From survival models based on stochastic principles to claim frequency modeling and queueing structures relevant to service and operations risk, this volume bridges theory and practice. We will explore both discrete and continuous-time frameworks, providing insight into when each is most appropriate. Along the way, actuarial case studies will illustrate how these models are used in life insurance, health insurance, risk management, and beyond.The aim is twofold: To provide a rigorous mathematical treatment of stochastic processes relevant to actuarial work.To demonstrate how these tools can be applied to real-world actuarial problems in pricing, reserving, solvency, and operational risk.This book assumes familiarity with probability theory (Book 1) and credibility methods (Book 2). Together, these form the foundation upon which stochastic process applications can be built. Whether you are a student preparing for professional actuarial exams, a practicing actuary seeking to deepen your technical toolkit, or a researcher advancing the boundaries of actuarial science, this volume is designed to equip you with both the theoretical rigor and the applied perspective needed to navigate uncertainty. The actuarial profession thrives on the ability to turn random variation into structured understanding. Stochastic processes provide one of the most powerful avenues for doing exactly that.- Oluchi Ike This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Paperback. Condition: new. Paperback. Stochastic processes play a central role in actuarial science, providing the mathematical foundation for modeling uncertainty in insurance, pensions, finance, and risk management. Actuaries work in a world where randomness is not an obstacle but a feature-claims arrive unpredictably, lifetim…es follow uncertain paths, and risks evolve dynamically over time. To capture these realities, probability theory must extend beyond simple distributions to processes that evolve across time and states.This book, Stochastic Processes for Actuarial Applications, is designed to bridge the gap between rigorous probability theory and its practical use in actuarial modeling. It explores key stochastic frameworks such as Poisson processes, Markov chains, renewal processes, and diffusion models, showing how they are applied to claims modeling, mortality projections, survival models, ruin theory, and risk evaluation.The intent is twofold: To provide a solid theoretical foundation-each stochastic model is introduced with mathematical precision, ensuring the reader understands the underlying structure.To highlight actuarial applications-through worked examples, case studies, and practical illustrations, readers will see how abstract theory directly connects to pricing, reserving, solvency assessment, and capital modeling.This book is intended for actuarial students, professionals preparing for advanced exams, and researchers seeking to deepen their understanding of probability-driven modeling techniques in actuarial contexts. A strong background in undergraduate probability and statistics will be helpful, though the text builds concepts step by step.My hope is that this work empowers readers not only to pass examinations but also to develop an intuitive and applied mastery of stochastic processes. By blending theory with practice, actuaries can make more informed decisions in a world where uncertainty is the only constant.- Oluchi Ike This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Independently Published, 2025
Series: Book 3 of 10 - Actuary Mastery Series II – The Advanced Collection
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 27.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Stochastic processes lie at the heart of actuarial science. They provide the mathematical language for describing systems that evolve randomly over time-claims arriving at unpredictable intervals, lives transitioning between health states, portfolios exposed to shifting financial risks. For…actuaries, the mastery of these processes is not an academic luxury, but a practical necessity. This book, the third installment in the Actuary Mastery Series II - The Advanced Collection, explores Markov chains, Poisson processes, and related models with a sharp focus on their actuarial applications. From survival models based on stochastic principles to claim frequency modeling and queueing structures relevant to service and operations risk, this volume bridges theory and practice. We will explore both discrete and continuous-time frameworks, providing insight into when each is most appropriate. Along the way, actuarial case studies will illustrate how these models are used in life insurance, health insurance, risk management, and beyond.The aim is twofold: To provide a rigorous mathematical treatment of stochastic processes relevant to actuarial work.To demonstrate how these tools can be applied to real-world actuarial problems in pricing, reserving, solvency, and operational risk.This book assumes familiarity with probability theory (Book 1) and credibility methods (Book 2). Together, these form the foundation upon which stochastic process applications can be built. Whether you are a student preparing for professional actuarial exams, a practicing actuary seeking to deepen your technical toolkit, or a researcher advancing the boundaries of actuarial science, this volume is designed to equip you with both the theoretical rigor and the applied perspective needed to navigate uncertainty. The actuarial profession thrives on the ability to turn random variation into structured understanding. Stochastic processes provide one of the most powerful avenues for doing exactly that.- Oluchi Ike This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
