Results 21 to 30 of about 30,914,687 (313)
Statistical inference in compound functional models [PDF]
We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 more
core +4 more sources
Statistical models for language representation
ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper discuses several models for the computational representation of language. First, some n-gram models that are based on Markov models are introduced.
Rubén Dorado
doaj +1 more source
Statistical Models for Corporate Credit Risk Assessment – Rating Models
Taking into consideration the weakness of the models based on discrimination function (Z-score) proposed by Altman within the conditions of polish economy some attempts were taken in the 90s to adjust these models to the reality of post-communist economy.
Aneta Ptak-Chmielewska
doaj +1 more source
Train Performance Analysis Using Heterogeneous Statistical Models
This study investigated the effect of a harsh winter climate on the performance of high-speed passenger trains in northern Sweden. Novel approaches based on heterogeneous statistical models were introduced to analyse the train performance to take time ...
Jianfeng Wang, Jun Yu
doaj +1 more source
CHARACTERISTICS OF INTEGRATION BETWEEN STATISTICAL MODELS AND MATHEMATICAL MODELS [PDF]
This study focuses on integrating mathematical and statistical modeling, where a statistical model estimates the parameters of a mathematical model, or a mathematical model generates data to train a statistical model.
Rasha Ibrahim Hajaj +4 more
doaj +1 more source
Paper discusses the similarities and differences in predicting the full flowering of apple tree (cv. 'Bobovec'), pear tree (cv. 'Pastorjevka') and domestic plum tree. The study was conducted at University of Ljubljana.
Klemen BERGANT +2 more
doaj +1 more source
Parsimonious statistical learning models for low-flow estimation [PDF]
Statistical learning methods offer a promising approach for low-flow regionalization. We examine seven statistical learning models (Lasso, linear, and nonlinear-model-based boosting, sparse partial least squares, principal component regression, random ...
J. Laimighofer, M. Melcher, G. Laaha
doaj +1 more source
Statistical transmutation in doped quantum dimer models [PDF]
We prove a "statistical transmutation" symmetry of doped quantum dimer models on the square, triangular and kagome lattices: the energy spectrum is invariant under a simultaneous change of statistics (i.e.
Cabra, D. C. +4 more
core +5 more sources
A Systematic Comparison of Various Statistical Alignment Models
We present and compare various methods for computing word alignments using statistical or heuristic models. We consider the five alignment models presented in Brown, Della Pietra, Della Pietra, and Mercer (1993), the hidden Markov alignment model ...
F. Och, H. Ney
semanticscholar +1 more source
Non-equilibrium Statistical Approach to Friction Models [PDF]
A geometric approach to the friction phenomena is presented. It is based on the holographic view which has recently been popular in the theoretical physics community. We see the system in one-dimension-higher space.
Ichinose, Shoichi
core +1 more source

