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Mar 20, 2015
Statistics Theory

In this paper, we have investigated the consistency of Bayes factor for nonnested linear models for the case in which the model dimension grows with the sample size. It has been shown that in some cases, the proposed Bayes factor is consistent which…

Consistency of Bayes factor for nonnested model selection when the mo…

Zellner's $g$-prior is a popular prior choice for the model selection problems in the context of normal regression models. Wang and Sun [J. Statist. …
Jan 20, 2018
Optics

Plasmonic Superlens Imaging Enhanced by Incoherent Active Convolved …

We introduce a loss compensation method to increase the resolution of near-field imaging with a plasmonic superlens that relies on the convolution of…
Sep 07, 2015

TeV Observations of the Galactic Plane with HAWC and Joint Analysis o…

A number of Galactic sources emit GeV-TeV gamma rays that are produced through leptonic and/or hadronic mechanisms. Spectral analysis in this energy …
May 17, 2018
Optimization and Control

Adaptive Discrete Second Order Sliding Mode Control with Application …

Sliding mode control (SMC) is a robust and computationally efficient model-based controller design technique for highly nonlinear systems, in the pre…
Jan 19, 2010
Probability
Statistics Theory

Exact lower bounds on the exponential moments of Winsorized and tru…

Exact lower bounds on the exponential moments of min(y,X) and XI{X<y} are provided given the first two moments of a random variable X. These bounds a…
Feb 04, 2012

Spectrum and Morphology of the Two Brightest Milagro Sources in the …

The Cygnus region is a very bright and complex portion of the TeV sky, host to unidentified sources and a diffuse excess with respect to conventional…
Dec 18, 2014
Data Analysis
Statistics and Probability
Instrumentation and Detectors

Short vs. Long Gamma-Ray Bursts: A Comprehensive Study of Energetics …

We present the results of a comprehensive study of the luminosity function, energetics, prompt gamma-ray correlations, and classification methodology…
Feb 06, 2018
Systems and Control
Optimization and Control

Predictive Second Order Sliding Control of Constrained Linear Systems…

This paper presents a new predictive second order sliding controller (PSSC) formulation for setpoint tracking of constrained linear systems. The PSSC…
Jun 13, 2017
Optimization and Control

MIMO First and Second Order Discrete Sliding Mode Controls of Uncerta…

The performance of a conventional model-based controller significantly depends on the accuracy of the modeled dynamics. The model of a plant's dynami…
Oct 17, 2012
Number Theory

In this section, we sketch the proof of Proposition 1. That is, we show how to compute

Average Frobenius distribution for elliptic curves defined over finit…

Let $K$ be a fixed number field, assumed to be Galois over $\mathbb Q$. Let $r$ and $f$ be fixed integers with $f$ positive. Given an elliptic curve …
Mar 11, 2016

Pseudoscalar top-Higgs coupling: Exploration of $\mathrm{CP}$-odd o…

We present a collection of $\mathrm{CP}$-odd observables for the process $pp\to t\,\left(\rightarrow b {\ell}^+ \nu_{\ell}\right) \bar{t}\,\left(\rig…
Jan 07, 2021
Machine Learning

Automatic identification of outliers in Hubble Space Telescope galaxy…

Rare extragalactic objects can carry substantial information about the past, present, and future universe. Given the size of astronomical databases i…
Nov 14, 2017
Data Structures and Algorithms
Numerical Analysis
Social and Information Networks

Similarity-Aware Spectral Sparsification by Edge Filtering

In recent years, spectral graph sparsification techniques that can compute ultra-sparse graph proxies have been extensively studied for accelerating …
Feb 24, 2017
Mesoscale and Nanoscale Physics
Optics

Topological tight-binding models from non-trivial square roots

We describe a versatile mechanism that provides tight-binding models with an enriched, topologically nontrivial bandstructure. The mechanism is algeb…
Apr 16, 2014
Numerical Analysis

High order maximum principle preserving discontinuous Galerkin method…

In this paper, we propose to apply the parametrized maximum-principle-preserving (MPP) flux limiter in [Xiong et. al., JCP, 2013] to the discontinuou…
Dec 03, 2017
Statistics Theory
Machine Learning
Probability

Exact upper and lower bounds on the misclassification probability

Exact lower and upper bounds on the best possible misclassification probability for a finite number of classes are obtained in terms of the total var…
Aug 11, 2017

Correlated GeV-TeV Gamma-Ray Emission from Extended Sources in the …

The Cygnus arm of our galaxy is a source-rich and complex region hosting multiple gamma-ray source types such as pulsar wind nebulae (PWN), supernova…
Feb 17, 2014
Computer Vision
Data Structures and Algorithms
Machine Learning

Scalable Kernel Clustering: Approximate Kernel k-means

Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data. Among various kernel-based clustering alg…
May 29, 2019
Analysis of PDEs

Limited Aperture Inverse Scattering Problems using Bayesian Approach …

Inverse scattering problems have many important applications. In this paper, given limited aperture data, we propose a Bayesian method for the invers…
Mar 13, 2019

Testing the Weak Equivalence Principle with Cosmological Gamma Ray …

Gamma Ray Bursts (GRBs) with rapid variations at cosmological distances are used to place new limits on violations of the gravitational weak equivale…
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