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We introduce several notions of `random fewnomials', i.e. random polynomials with a fixed number f of monomials of degree N. The f exponents are chosen at random and then the coefficients are chosen to be Gaussian random, mainly from the…

Complex Variables · Mathematics 2013-01-24 Bernard Shiffman , Steve Zelditch

We perform a smoothed analysis of the condition number of rectangular matrices. We prove that, asymptotically, the expected value of this condition number depends only of the elongation of the matrix, and not on the center and variance of…

Numerical Analysis · Mathematics 2011-06-17 Peter Buergisser , Felipe Cucker

We consider the logarithm of the characteristic polynomial of random permutation matrices, evaluated on a finite set of different points. The permutations are chosen with respect to the Ewens distribution on the symmetric group. We show…

Probability · Mathematics 2013-09-17 Kim Dang , Dirk Zeindler

Conditional Monte Carlo refers to sampling from the conditional distribution of a random vector X given the value T(X) = t for a function T(X). Classical conditional Monte Carlo methods were designed for estimating conditional expectations…

Methodology · Statistics 2020-10-15 Bo Henry Lindqvist , Rasmus Erlemann , Gunnar Taraldsen

Many applications, including rank aggregation and crowd-labeling, can be modeled in terms of a bivariate isotonic matrix with unknown permutations acting on its rows and columns. We consider the problem of estimating such a matrix based on…

Machine Learning · Statistics 2018-06-06 Cheng Mao , Ashwin Pananjady , Martin J. Wainwright

A simple formula is proved to be a tight estimate for the condition number of the full rank linear least squares residual with respect to the matrix of least squares coefficients and scaled 2-norms. The tight estimate reveals that the…

Numerical Analysis · Mathematics 2015-03-13 Joseph F. Grcar

In this article, we propose a penalized high dimensional semiparametric model average quantile prediction approach that is robust for forecasting the conditional quantile of the response. We consider a two-step estimation procedure. In the…

Statistics Theory · Mathematics 2018-09-06 Jingwen Tu , Hu Yang , Chaohui Guo

Conditionals play a key role in different areas of logic and probabilistic reasoning, and they have been studied and formalized from different angles. In this paper we focus on the de Finetti's notion of conditional as a three-valued…

Logic · Mathematics 2022-05-09 Tommaso Flaminio , Angelo Gilio , Lluis Godo , Giuseppe Sanfilippo

Following the work of Conrey, Rubinstein and Snaith and Forrester and Witte we examine a mixed moment of the characteristic polynomial and its derivative for matrices from the unitary group U(N) (also known as the CUE) and relate the moment…

We give estimates for the expectation of the norm of random matrices with independent but not necessarily identically distributed entries.

Functional Analysis · Mathematics 2012-03-19 Stiene Riemer , Carsten Schuett

For a Pfaffian point process we show that its Palm measures, its normalised compositions with multiplicative functionals, and its conditional measures with respect to fixing the configuration in a bounded subset are Pfaffian point processes…

Probability · Mathematics 2019-12-24 Alexander I. Bufetov , Fabio Deelan Cunden , Yanqi Qiu

This article explores a relationship between inconsistency in the pairwise comparisons method and conditions of order preservation. A pairwise comparisons matrix with elements from an alo-group is investigated. This approach allows for a…

Discrete Mathematics · Computer Science 2019-03-29 Konrad Kulakowski , Jiri Mazurek , Jaroslav Ramik , Michael Soltys

We introduce a new method to reconstruct the density matrix $\rho$ of a system of $n$-qubits and estimate its rank $d$ from data obtained by quantum state tomography measurements repeated $m$ times. The procedure consists in minimizing the…

Statistics Theory · Mathematics 2015-06-05 Pierre Alquier , Cristina Butucea , Mohamed Hebiri , Katia Meziani , Morimae Tomoyuki

This paper develops a polynomial normal transformation model, whereby various non-normal probability distributions can be simulated by the standard normal distribution. Two methods are presented to determine the coefficients of polynomial…

Methodology · Statistics 2015-08-27 Qing Xiao

We describe two algorithms for the eigenvalue, eigenvector problem which, on input a Gaussian matrix with complex entries, finish with probability 1 and in average polynomial time.

Numerical Analysis · Mathematics 2014-10-09 Diego Armentano , Carlos Beltrán , Michael Shub

The empirical Bayes estimators in mixed models are useful for small area estimation in the sense of increasing precision of prediction for small area means, and one wants to know the prediction errors of the empirical Bayes estimators based…

Methodology · Statistics 2016-04-07 Shonosuke Sugasawa , Tatsuya Kubokawa

This paper presents an algorithm that generates the conditional moment inequalities that characterize the identified set of the common parameter of various semi-parametric panel multinomial choice models. I consider both static and dynamic…

Methodology · Statistics 2023-05-26 Eric Mbakop

Smoothed analysis of complexity bounds and condition numbers has been done, so far, on a case by case basis. In this paper we consider a reasonably large class of condition numbers for problems over the complex numbers and we obtain…

Numerical Analysis · Mathematics 2007-05-23 Peter Buergisser , Felipe Cucker , Martin Lotz

Consider a system $f_1(x)=0,\ldots,f_n(x)=0$ of $n$ random real polynomials in $n$ variables, where each $f_i$ has a prescribed set of terms described by a set $A\subseteq \mathbb{N}^n$ of cardinality $t$. Assuming that the coefficients of…

Probability · Mathematics 2019-12-24 Peter Bürgisser , Alperen A. Ergür , Josué Tonelli-Cueto

We demonstrate that the most popular variants of all common algebraic multidimensional rootfinding algorithms are unstable by analyzing the conditioning of subproblems that are constructed at intermediate steps. In particular, we give…

Numerical Analysis · Mathematics 2024-08-07 Emil Graf , Alex Townsend
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