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Dans les differentes procedures existantes pour l'evaluation et les modifications sequentielles des modeles structuraux, l'auteur s'attache a discuter celle connue sous le terme PMM. Plus generalement, les propositions d...

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regressio...

This paper develops a model based on Schumpeter's process of creative destruction. It departs from existing models of endogenous growth in emphasizing obsolescence of old technologies induced by the accumulation of knowl...

Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficien...

Materias / palabras clave: Environmental niche modelling; Generality; Ecology; Model selection; Computer science; Ordination; Statistical model; Selection (genetic algorithm); Probabilistic logic; Generalized linear model; Generalized additive mod...

MOTIVATION: Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. m...

BACKGROUND: Non-fatal outcomes of disease and injury increasingly detract from the ability of the world's population to live in full health, a trend largely attributable to an epidemiological transition in many countries...

1. Potential changes evoked by stimulation of the perforant path have been recorded in the dentate area of the hippocampal formation in chronically prepared unanaesthetized rabbits.2. Components attributed to excitatory ...

Detection of a periodic signal hidden in noise is frequently a goal in astronomical data analysis. This paper does not introduce a new detection technique, but instead studies the reliability and efficiency of detection ...

Received 17 October 1967DOI:https://doi.org/10.1103/PhysRevLett.19.1264©1967 American Physical Society

We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body part...

The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain ...

Materias / palabras clave: CTCF; Genome; Chromatin; Biology; Chromosome conformation capture; Genomic organization; Retrotransposon; Computational biology; Genetics; Genome evolution; Human genome; Evolutionary biology

Materias / palabras clave: Computer science; Python (programming language); Scripting language; Executable; Computational science; User interface; Interface (matter); Graphical user interface; Compiler; User Friendly; Data structure; Fortran

Materias / palabras clave: Confidence interval; Computation; Statistics; Mathematics; Logarithm; Range (aeronautics); Simple (philosophy); Line (geometry); Transformation (genetics); Algorithm; Mathematical analysis; Geometry

Conventional wisdom states that Newton's force law implies only four noncompact dimensions. We demonstrate that this is not necessarily true in the presence of a nonfactorizable background geometry. The specific example ...

We propose a form for the exchange-correlation potential in local-density band theory, appropriate for Mott insulators. The idea is to use the ``constrained-local-density-approximation'' Hubbard parameter U as the quanti...

This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl isin/R/sup n/ from corrupted measurements y=Af+e. Here, A is an m by n (coding) matrix and e...

Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to useful intermediate representations. We intr...

This paper develops asymptotic distribution theory for instrumental variable regression when the partial correlation between the instruments and a single included endogenous variable is weak, here modeled as local to zer...

The literature reflects remarkably little effort to develop a framework for understanding the implementation of the marketing concept. The authors synthesize extant knowledge on the subject and provide a foundation for f...

Multidimensional scaling is the problem of representing n objects geometrically by n points, so that the interpoint distances correspond in some sense to experimental dissimilarities between objects. In just what sense d...

Materias / palabras clave: Linear discriminant analysis; Support vector machine; Quadratic classifier; Artificial intelligence; Nonparametric statistics; Pattern recognition (psychology); Epoch (astronomy); Accelerometer; Machine learning; Compute...

Materias / palabras clave: Linear operators; Perturbation (astronomy); Mathematics; Statistical physics; Computer science; Theoretical physics; Physics; Mathematical analysis; Quantum mechanics; Bounded function