{"product_id":"stochastic-models-in-biology-probability-uncertainty-and-data-driven-approaches-9798198957565","title":"Stochastic Models in Biology: Probability, Uncertainty, and Data-Driven Approaches","description":"\u003cp\u003e • Author(s): Danny Munrow | Livia Arden | Daniel F. Rothenburg\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: General\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eStochastic Models in Biology explores the essential role of randomness, probability, and uncertainty in biological systems. This book provides a clear and rigorous introduction to stochastic modeling techniques and their increasingly important applications in modern biology.\u003c\/p\u003e\u003cp\u003eReaders will gain a solid foundation in core probabilistic concepts and learn how to build and analyze data-driven stochastic models for a wide range of biological phenomena - from population dynamics and gene expression to epidemiology and evolutionary processes. The text bridges traditional mathematical theory with contemporary computational and statistical approaches, emphasizing practical implementation and real-world biological relevance.\u003c\/p\u003e\u003cp\u003eKey topics include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFundamental probability theory for biological systems\u003c\/li\u003e\n\u003cli\u003eStochastic processes and Markov models\u003c\/li\u003e\n\u003cli\u003eUncertainty quantification and sensitivity analysis\u003c\/li\u003e\n\u003cli\u003eData-driven modeling using modern statistical methods\u003c\/li\u003e\n\u003cli\u003eSimulation techniques and numerical methods\u003c\/li\u003e\n\u003cli\u003eApplications to molecular biology, ecology, and medicine\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for upper-level undergraduate students, graduate students, and researchers in biology, bioinformatics, biostatistics, and applied mathematics, this book offers an accessible yet mathematically sound treatment of stochastic modeling. It equips readers with both the theoretical understanding and practical tools needed to incorporate randomness and uncertainty into biological research.\u003c\/p\u003e\u003cp\u003eWhether you are new to stochastic methods or looking to strengthen your modeling skills with data-driven techniques, this volume serves as a valuable resource for navigating the probabilistic nature of living systems.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47889937367191,"sku":"9798198957565","price":3358.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798198957565.webp?v=1781178274","url":"https:\/\/atlanticbooks.com\/products\/stochastic-models-in-biology-probability-uncertainty-and-data-driven-approaches-9798198957565","provider":"Atlantic Books","version":"1.0","type":"link"}