For a finite word w of length n and a class of finite automata A, we study the Kolmogorov structure function hw for automatic complexity restricted to A. We propose an approach to computational statistics based on the minimum p-value of hw(m) over 0 ≤ m ≤ n. When A is the class of all finite automata we give some upper bounds for hw. When A consists of automata that detect several success runs ...

The domain of validity of standard thermodynamics and Boltzmann-Gibbs statistical mechanics is discussed and then formally enlarged in order to hopefully cover a variety of anomalous systems. The generalization concerns nonextensive systems, where nonextensivity is understood in the thermody-namical sense. This generalization was first proposed in 1988 inspired by the probabilistic description ...

Abstract In a 1997 paper Moore and Schroeder argued that the development of student understanding of thermal physics could be enhanced by computational exercises that highlight the link between the statistical definition of entropy and the second law of thermodynamics [Am. J. Phys. 65, 26 (1997)]. I introduce examples of similar computational exercises for systems in which the quantum statistic...

Given a large dataset and an estimation task, it is common to pre-process the data by reducing them to a set of sufficient statistics. This step is often regarded as straightforward and advantageous (in that it simplifies statistical analysis). I show that –on the contrary– reducing data to sufficient statistics can change a computationally tractable estimation problem into an intractable one. ...

The journal Computational Statistics and Data Analysis aims to have regular issues in Computational Econometrics. Of particular interest are papers in important areas of econo-metric applications where both computational techniques and numerical methods have a major impact. The goal is to provide sources of information about the most recent developments in computational econometrics that are cu...

Reading is a hobby to open the knowledge windows. Besides, it can provide the inspiration and spirit to face this life. By this way, concomitant with the technology development, many companies serve the e-book or book in soft file. The system of this book of course will be much easier. No worry to forget bringing the data analysis of asymmetric structures advanced approaches in computational st...

Spend your few moment to read a book even only few pages. Reading book is not obligation and force for everybody. When you don't want to read, you can get punishment from the publisher. Read a book becomes a choice of your different characteristics. Many people with reading habit will always be enjoyable to read, or on the contrary. For some reasons, this natural image statistics a probabilisti...

(in alphabetic order by speaker surname) Speaker: Dominique Attali (CNRS, Grenoble) Title: Persistence-sensitive simplification of functions on surfaces in linear time. Abstract: Let f be a real-valued function defined on a triangulated surface S. The persistence diagram of f encodes the homological variations in the sequence of sublevel sets St = f−1(−∞, t]. A point (x, y) in the persistence d...

Imputation estimates based on imputed values obtained from neural network models used in an 'impute first-aggregate next' approach, have been computed from Norwegian population census and administrative register data. The imputation estimates were compared with simple unbiased estimates obtained by the traditional 'aggregate first estimate next' approach and found to be superior for estimating ...

We introduce the role of resampling and prediction (p) metrics for flexible discriminant modeling in neuroimaging, and highlight the importance of combining these with measurements of the reproducibility (r) of extracted brain activation patterns. Using the NPAIRS resampling framework we illustrate the use of (p, r) plots as a function of the size of the principal component subspace (Q) for a p...