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01993aam a2200361 i 4500 001 1F52C7BEDABF11EEBE8532184BECA4DB 003 SILO 005 20240305010131 008 230228s2023 enka b 001 0 eng 010 $a 2023002178 020 $a 1009098500 020 $a 9781009098502 035 $a (OCoLC)1369269085 040 $a DLC $b eng $e rda $c DLC $d UKMGB $d OCLCF $d OCLCQ $d YDX $d OCLCO $d SILO 042 $a pcc 050 00 $a Q180.55 S7 P74 2023 100 1 $a PresseÌ, Steve, $e author. 245 10 $a Data modeling for the sciences : $b applications, basics, computations / $c Steve PresseÌ, Ioannis Sgouralis. 264 1 $a Cambridge ; $b Cambridge University Press, $c 2023. 300 $a xv, 415 pages : $b illustrations ; $c 27 cm 520 $a "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"-- $c Provided by publisher. 504 $a Includes bibliographical references and index. 505 0 $a 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. 650 0 $a Research $x Statistical methods. 650 0 $a Science $x Statistical methods. 650 0 $a Probabilities. 650 0 $a Mathematical statistics. 700 1 $a Sgouralis, Ioannis, $e author. 776 08 $i Online version: $a PresseÌ, Steve. $t Data modeling for the sciences $d Cambridge ; New York, nY : Cambridge University Press, 2023 $z 9781009089555 $w (DLC) 2023002179 941 $a 1 952 $l USUX851 $d 20240502014021.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=1F52C7BEDABF11EEBE8532184BECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search