{"product_id":"bayesian-filter-design-for-computational-medicine-a-state-space-estimation-framework-2024th-edition","title":"Bayesian Filter Design for Computational Medicine: A State-Space Estimation Framework 2024th Edition","description":"\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"7y9w7h-rgk3d4-2xixgp-6jetc1\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"0993745598\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" aria-expanded=\"false\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"1975136373\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"3xu427-hdulpm-xey1d9-kajk0v\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv aria-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cp\u003e\u003cspan\u003eThis book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well as some basic background material in statistics that are necessary for the equation derivations that are utilized in subsequent chapters. The subsequent chapters focus on different state-space models and provide step-by-step explanations on how to build the corresponding Bayesian filters.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eEach of the main chapters that describes a single state-space model also describes the corresponding MATLAB code examples at the end. Descriptions are also provided regarding the code. The code contains both simulated and experimental data examples. All the experimental data examples are taken from real-world experiments. The experiments involve the recording of skin conductance, heartrate and blood cortisol data. A MATLAB toolbox of code examples that cover the different filters covered in the book is included in a companion webpage.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe book is primarily intended for graduate students in either electrical engineering or biomedical engineering who will be beginning research in state estimation related to point process data or mixed data (i.e., point processes and other types of observations). The book can also be used by practicing researchers who measure skin conductance and heart rate or pulsatile hormones in their own work (e.g. in psychology).\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable of contents (11 chapters)\u003c\/strong\u003e\u003cbr\u003eFront Matter\u003cbr\u003ePages i-xv\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eIntroduction\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 1-13\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eSome Useful Statistical Results\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 15-19\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eState-Space Model with One Binary Observation\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 21-38\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eState-Space Model with One Binary and One Continuous Observation\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 39-51\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eState-Space Model with One Binary and Two Continuous Observations\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 53-66\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eState-Space Model with One Binary, Two Continuous, and a Spiking-Type Observation\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 67-76\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eState-Space Model with One Marked Point Process (MPP) Observation\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 77-87\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eState-Space Model with One MPP and One Continuous Observation\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 89-96\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eAdditional Models and Derivations\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 97-109\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eMATLAB Code Examples\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 111-216\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eList of Supplementary MATLAB Functions\u003cbr\u003eDilranjan S. Wickramasuriya, Rose T. Faghih\u003cbr\u003ePages 217-218\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eBack Matter\u003cbr\u003ePages 219-228\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cb\u003eBOOKREAD™ 5-STEP SATISFACTION GUARANTEE\u003c\/b\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e1. No Risk, 30-Day Money-Back Guarantee. \u003cbr\u003e2. instant download. No surprises or hidden fees.\u003cbr\u003e3. Safe Payments via Credit\/Debit Card or PayPal® \u003cbr\u003e4. McAfee™ and SSL secured shopping cart.\u003cbr\u003e5. lifetime customer support.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"My Store","offers":[{"title":"PDF","offer_id":56778117284171,"sku":null,"price":35.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1031\/1204\/8971\/files\/616yttkiLbL._SL1246.jpg?v=1773316356","url":"https:\/\/bookread.io\/products\/bayesian-filter-design-for-computational-medicine-a-state-space-estimation-framework-2024th-edition","provider":"bookread","version":"1.0","type":"link"}