Results 71 to 80 of about 29,999,610 (319)
Statistical significance in high-dimensional linear models
, 2013 We propose a method for constructing p-values for general hypotheses in a high-dimensional linear model. The hypotheses can be local for testing a single regression parameter or they may be more global involving several up to all parameters. Furthermore,
Bühlmann, Peter
core +1 more source
FEBS Letters, EarlyView.Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile +8 more
wiley +1 more source
Three Generative, Lexicalised Models for Statistical Parsing
, 1997 In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement.
Collins, Michael
core +5 more sources
Evaluation metrics and statistical tests for machine learning
Scientific ReportsResearch on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML models and ...
O. Rainio, J. Teuho, R. Klén
semanticscholar +1 more source
Mathematical Foundations of Infinite-Dimensional Statistical Models
, 2015 1. Nonparametric statistical models 2. Gaussian processes 3. Empirical processes 4. Function spaces and approximation theory 5. Linear nonparametric estimators 6. The minimax paradigm 7. Likelihood-based procedures 8. Adaptive inference.
E. Giné, Richard Nickl
semanticscholar +1 more source
On the statistical identification of DSGE models [PDF]
Journal of Econometrics, 2009 Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and implemented.
Consolo, Agostino. +2 more
openaire +6 more sources
FEBS Letters, EarlyView.Phytohormone brassinosteroid‐induced gene regulation by the transcription factor BIL1/BZR1 involves redox‐dependent DNA‐binding alternation and interaction with the transcription factor PIF4. The reduced BIL1/BZR1 dimer binds preferred cis‐elements, while oxidation alters its oligomerization state and disrupts DNA‐binding ability.
Shohei Nosaki +4 more
wiley +1 more source
Turning Statistical Physics Models Into Materials Design Engines
, 2015 Despite the success statistical physics has enjoyed at predicting the properties of materials for given parameters, the inverse problem, identifying which material parameters produce given, desired properties, is only beginning to be addressed. Recently,
de Pablo, Juan J. +3 more
core +1 more source
Facial Expression Biometrics Using Statistical Shape Models
EURASIP Journal on Advances in Signal Processing, 2009 This paper describes a novel method for representing different facial expressions based on the shape space vector (SSV) of the statistical shape model (SSM) built from 3D facial data.
Djamel Ait-Boudaoud +3 more
doaj +1 more source
Adana Dewlap Pigeons and Statistical Growth Models [PDF]
Brazilian Journal of Poultry ScienceAdana dewlap pigeons are a special kind of pigeon bred in the Adana region of Turkey. These pigeons differ from other pigeon species due to their flight characteristics.
L Özbek
doaj +1 more source