Pressé, Steve, <br/><br/>
Data modeling for the sciences :  applications, basics, computations / 
Steve Pressé, Ioannis Sgouralis. 
 - xii, 415 pages   25 cm. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Probabilistic modeling and inference -- Dynamical systems and Markov processes -- Likelihoods and latent variables -- Bayesian inference -- Computational inference -- Regression models -- Mixture models -- Hidden Markov models -- State-space models -- Continuous time models. 
<br/><br/> "This accessible guide to data modeling introduces basic probabilistic concepts, gradually building toward state-of-the art data modeling and analysis techniques. Aimed at students and researchers in the sciences, the text is self-contained and pedagogical, including practical examples and end of chapter problems"-- 
<br/><br/><label>ISBN: </label>9781009098502 (hardback) 
<br/><br/><label>LCCN: </label>2023002178 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Research--Statistical methods.<br/>Science--Statistical methods.<br/>Probabilities.<br/>Mathematical statistics.
<br/><br/><label>Dewey Class. No.: </label>001.422