Advanced Data Analysis in Neuroscience
1576 Kč
Sleva až 70% u třetiny knih
This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics.
| Autor: | Durstewitz, Daniel |
| Nakladatel: | Springer International Publishing AG |
| ISBN: | 9783319599748 |
| Rok vydání: | 2017 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 292 |
Mohlo by se vám také líbit..
-
Lie Groups, Lie Algebras, and Repres...
Hall, Brian J
-
Theory and Simulation of Random Phen...
Vitali, Ettore; Motta, Mario; Galli, Davide Emilio
-
Homotopical Topology
Fomenko, Anatoly; Fuchs, Dmitry
-
Time Series Analysis and Its Applica...
Shumway, Robert H.; Stoffer, David S.
-
Meta-Analysis with R
Schwarzer, Guido; Carpenter, James R.; Rucker, Gerta
-
Markov Chains
Moulines, Eric; Stoffer, David S.; Douc, Randal
-
Complex Analysis with Applications
Goldstein, Larry J.; Schneider, David I.; Lay, David C.; Asmar, Nakhle H.
-
Non-Newtonian Fluid Mechanics and Co...
Farina, Angiolo; Mikelic, Andro; Saccomandi, Giuseppe; Sequeira, Adelia; Toro, Eleuterio F.
-
Linear Algebra Done Right
Axler, Sheldon
-
Introduction to Riemannian Manifolds
Johns Lee
-
Linear Algebra and Analytic Geometry...
Landi, Giovanni; Zampini, Alessandro
-
Multivariable Calculus with MATLAB (R)
Hunt, Brian R. (University of Maryland, College Park); Lipsman, Ronald L. (University of Maryland, College Park); Rosenb
-
Optimization and Approximation
Pedregal, Pablo
-
One-Dimensional Finite Elements
Öchsner, Andreas
-
Homological Methods, Representation ...
-
Number Fields
Marcus, Daniel A.