Results 121 to 130 of about 2,074 (253)
Recompression Of Hadamard Products Of Tensors In Tucker Format
The Hadamard product features prominently in tensor-based algorithms in scientific computing and data analysis. Due to its tendency to significantly increase ranks, the Hadamard product can represent a major computational obstacle in algorithms based on ...
Kressner, Daniel, Perisa, Lana
core +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Total positivity of Hadamard products
The Hadamard product of two totally positive Toeplitz matrices M and N need not be totally positive. When only finitely many diagonals of M and of N are non-zero, preservation of total positivity by Hadamard product is essentially a theorem of Maló. Here
Wagner, David G, David G Wagner
core +1 more source
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
On a new class of p-valent functions with negative coefficients defined by convolution
In this paper, we introduce a new class of analytic p-valent functions defined in the open unit disc by using convolution and obtain some results including coefficient inequality, distortion theorems, Hadamard products, radii of starlikeness and ...
M. K. Aouf +3 more
doaj
An arithmetic-geometric-harmonic mean inequality involving Hadamard products
Given matrices of the same size, A = [aij] and B = [bij], we define their Hadamard product to be A ∘ B = [aijbij]. We show that if xi > 0 and q ⩾ p ⩾ 0, then the n × n matrices xixjxi+xj,,xi−1+xj−1xixj,and xip+xjpxiq+xjq are positive definite, and we ...
Mathias, Roy, Roy Mathias
core +1 more source
A Note on Local Polynomial Regression for Time Series in Banach Spaces
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
Spectral radius inequalities for generalized Hadamard products of exponentiated nonnegative matrices
This paper develops new theoretical estimates for the spectral radius of a class of matrix operations formed through element-wise products and power operations. We present two innovative upper bounds that apply to products of powered nonnegative matrices.
Qin Zhong, Gufang Mou
doaj +1 more source
Bulk behaviour of Schur-Hadamard products of symmetric random matrices
We develop a general method for establishing the existence of the Limiting Spectral Distribution (LSD) of Schur-Hadamard products of independent sym-metric patterned random matrices.
Arup Bose, Soumendu Sundar Mukherjee
core
Multiple Chains Markov Switching Vector Autoregression
ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source

