Springer Texts in Statistics(共118册),这套丛书还有 《A Modern Approach to Regression with R》《Analyzing Categorical Data》《Theoretical Statistics》《Design and Analysis of Experiments》《Plane Answers to Complex Questions》等。 喜欢读"An Introduction to Statistical Learning"的人也喜欢的电子书 ··...
This paper introduces a new learning paradigm, called Learning Using Statistical Invariants (LUSI), which is different from the classical one. In a classical paradigm, the learning machine constructs a classification rule that minimizes the probability of expected error; it is data-driven model of ...
Springer Texts in Statistics(共118册), 这套丛书还有 《》《Statistics and Finance》《Plane Answers to Complex Questions: The Theory of Linear Models》《Log-Linear Models and Logistic Regression》《Intuitive Introductory Statistics》 等。 喜欢读"A First Course in Bayesian Statistical Methods"的人也喜欢...
the development of complex marked point process models that answer concrete ecological questions. We also highlight the importance of considering the practical side of model fitting, concerning prior choice and model interpretation, with a focus on rethinking the modelling process, in particular in term...
Another experiment to illustrate the limitations of LOO (and cross-validation and information criteria in general) would be to vary epsilon from very small to much larger, plotting how large the epsilon needs to be before we see that the more complex model is strongly favored. I’m not c...
Springer Texts in Statistics(共118册), 这套丛书还有 《Statistical Tables and Formulae》《Matrix Algebra》《Mathematical Statistics》《An R and S-Plus® Companion to Multivariate Analysis》《Statistics for Bioengineering Sciences》 等。 喜欢读"An Introduction to Statistical Learning"的人也喜欢的电子书...