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Spatial autoregression model:strong consistency
Spatial autoregression Unit roots Two-parameter martingale
2015/12/11
Let ( ˆ n; ˆn) denote the Gauss–Newton estimator of the parameter (; ) in the autoregression model Zij = Zi−1; j + Zi; j−1 − Zi−1; j−1 + ij. It is sho...
BOUNDING THE CONSISTENCY STRENGTH OF A FIVE ELEMENT LINEAR BASIS
CONSISTENCY STRENGTH FIVE ELEMENT LINEAR BASIS
2015/8/17
In [13] it was demonstrated that the Proper Forcing Axiom implies that there is a five element basis for the class of uncountable linear orders. The assumptions needed in the proof have consistency st...
We discuss frequent! properties of Ba~es rules, pa~ing special attention
to consistency. Some new and fairly natural counterexamples are given,
involving nonparametric estimates of location. E\ren...
ON THE UNIFORM CONSISTENCY OF BAYES ESTIMATES FOR MULTINOMIAL PROBABILITIES
Bayesian the probability of polynomial the uniform consistency
2015/7/14
ON THE UNIFORM CONSISTENCY OF BAYES ESTIMATES FOR MULTINOMIAL PROBABILITIES.
Consistency of Bayes Estimates for Nonparametric Regression: Normal Theory
Consistency Bayes estimates model selection binary regression
2015/7/14
Performance characteristics of Bayes estimates are studied. More exactly, for each subject in a data
set, let 5 be a vector of binary covariates and let Y be a normal response variable, with
E{YIE...
Consistency Analysis of Finite Difference Approximations to PDE Systems
systems of partial differential equations involution Thomas decomposition finite difference approximations consistency
2011/9/16
Abstract: In the given paper we consider finite difference approximations to systems of polynomially-nonlinear partial differential equations whose coefficients are rational functions over rationals i...
Assessing the consistency of community structure in complex networks
complex networks community structure consistency Assessing
2011/7/6
In recent years, community structure has emerged as a key component of complex network analysis. As more data has been collected, researchers have begun investigating changing community structure acro...
Consistency of Functional Learning Methods Based on Derivatives
Functional Data Analysis Consistency Statistical learning Derivatives SVM Smoothing splines RKHS Kernel
2011/6/15
In some real world applications, such as spectrometry, functional models
achieve better predictive performances if they work on the derivatives of order
m of their inputs rather than on the original...
Dimer models are introduced by string theorists (see e.g. [6, 7, 8, 11, 12, 13]) to study supersymmetric quiver gauge theories in four dimensions. A dimer model is a bicolored graph on a 2-torus which...
On the consistency strength of the proper forcing axiom
consistency strength proper forcing axiom
2011/1/20
Recently the second author introduced combinatorial principles that characterize supercompactness for inaccessible cardinals but can also hold true for small cardinals. We prove that the proper forcin...
Asynchronous maintenance of arc consistency
Distributed Constraints Satisfaction Problems Multi-Agents systems
2010/9/25
Connecting backtracking search with arc consistency is one of the most powerful techniques for solving distributed constraint satisfaction problems (DisCSPs) [11]. Recently, it has been considered tha...
Boussinesq-like multi-component lattice equations and multi-dimensional consistency
Boussinesq-like multi-component lattice equations multi-dimensional
2010/11/10
We consider quasilinear, multi-variable, constant coefficient, lattice equations defined on the edges of the elementary square of the lattice, modeled after the lattice modified Boussinesq (lmBSQ) eq...
On the consistency of the quantum-like representation algorithm for hyperbolic interference
Born’s rule problem hyperbolic interference hyper trigono-metric interference
2010/12/15
Recently quantum-like representation algorithm (QLRA) was intro-duced by A. Khrennikov [20]–[28] to solve the so-called “inverse Born’s rule problem”: to construct a representation of probabilistic da...
A Consistency Proof for Some Restrictions of Tait's Reflection Principles
Consistency Proof Restrictions Tait's Reflection Principles
2010/12/9
In [4] Tait identifies a set of reflection principles which he calls (2)n -reflection
principles which Peter Koellner has shown to be consistent relative to an Erd¨os cardinal
(!) in [1].
State Space Consistency and Differentiability Conditions for a Class of Causal Dynamical Input-Output Systems
State Space Consistency Differentiability Conditions Class of Causal Dynamical Input-Output Systems
2010/12/14
A causal input-output system may be described by a function space for inputs, a function space for outputs, and a causal operator mapping the input space into the output space. A particular representa...