Results 1  10
of
2,333
ON THE ASYMPTOTIC DISTRIBUTION OF USTATISTICS by
"... The asymptotic distribution of a Ustatistic is found in the case when the corresponding Von Mises functional is stationary of order I. Practical methods for the tabulation of the limit distributions are discussed, and the results extended to certain incomplete Ustatistics. Key Words and Phrases: a ..."
Abstract
 Add to MetaCart
The asymptotic distribution of a Ustatistic is found in the case when the corresponding Von Mises functional is stationary of order I. Practical methods for the tabulation of the limit distributions are discussed, and the results extended to certain incomplete Ustatistics. Key Words and Phrases
Games with Incomplete Information Played by 'Bayesian' Players, IIII
 MANAGEMENT SCIENCE
, 1967
"... The paper develops a new theory for the analysis of games with incomplete information where the players are uncertain about some important parameters of the game situation, such as the payoff functions, the strategies available to various players, the information other players have about the game, e ..."
Abstract

Cited by 787 (2 self)
 Add to MetaCart
The paper develops a new theory for the analysis of games with incomplete information where the players are uncertain about some important parameters of the game situation, such as the payoff functions, the strategies available to various players, the information other players have about the game
PROBABILITY INEQUALITIES FOR SUMS OF BOUNDED RANDOM VARIABLES
, 1962
"... Upper bounds are derived for the probability that the sum S of n independent random variables exceeds its mean ES by a positive number nt. It is assumed that the range of each summand of S is bounded or bounded above. The bounds for Pr(SES> nt) depend only on the endpoints of the ranges of the s ..."
Abstract

Cited by 2215 (2 self)
 Add to MetaCart
of the smumands and the mean, or the mean and the variance of S. These results are then used to obtain analogous inequalities for certain sums of dependent random variables such as U statistics and the sum of a random sample without replacement from a finite population.
Illusion and wellbeing: A social psychological perspective on mental health.
 Psychological Bulletin,
, 1988
"... Many prominent theorists have argued that accurate perceptions of the self, the world, and the future are essential for mental health. Yet considerable research evidence suggests that overly positive selfevaluations, exaggerated perceptions of control or mastery, and unrealistic optimism are charac ..."
Abstract

Cited by 988 (20 self)
 Add to MetaCart
in normal human cognition (see Fiske& Taylor, 1984; In this article, we review research suggesting that certain illusions may be adaptive for mental health and wellbeing. In particular, we examine evidence that a set of interrelated positive illusionsnamely, unrealistically positive self
Maximal Deviations of Incomplete Ustatistics with Applications to Empirical Risk Sampling
, 2013
"... It is the goal of this paper to extend the Empirical Risk Minimization (ERM) paradigm, from a practical perspective, to the situation where a natural estimate of the risk is of the form of a Ksample Ustatistics, as it is the case in the Kpartite ranking problem for instance. Indeed, the numerical ..."
Abstract
 Add to MetaCart
drastically simpler MonteCarlo version of the empirical risk based on O(n) terms solely, which can be viewed as an incomplete generalized Ustatistic, and prove that, remarkably, the approximation stage does not damage the ERM procedure and yields a learning rate of order OP(1 / √ n). Beyond a theoretical
Contraction And Decoupling Inequalities For Multilinear Forms And UStatistics
, 1994
"... this paper, we prove decoupling inequalities for random variables that are not necessarily symmetric. Theorems 2.1 and 2.3 in Section 2, and Theorem 3.8 in Section 3, are our main results. The decoupling principle by means of probability tails, Theorem 3.8, immediately ensures the parity of tightnes ..."
Abstract

Cited by 9 (3 self)
 Add to MetaCart
of tightness of two types of chaoses (that Gaussian decoupled and coupled chaoses are simultaneously tight was proved in [Kwa87]). A number of decoupling results are obtained for arbitrary rearrangement invariant norms and Orlicz functionals. In particular, we provide one extended example regarding certain
SGD Algorithms based on Incomplete Ustatistics: LargeScale Minimization of Empirical Risk
"... In many learning problems, ranging from clustering to ranking through metric learning, empirical estimates of the risk functional consist of an average over tuples (e.g., pairs or triplets) of observations, rather than over individual observations. In this paper, we focus on how to best implement ..."
Abstract
 Add to MetaCart
a stochastic approximation approach to solve such risk minimization problems. We argue that in the largescale setting, gradient estimates should be obtained by sampling tuples of data points with replacement (incomplete Ustatistics) instead of sampling data points without replacement (complete Ustatistics
On Ustatistics and compressed sensing I: Nonasymptotic averagecase analysis
 IEEE TRANSACTIONS ON SIGNAL PROCESSING
, 2013
"... Hoeffding’s Ustatistics model combinatorialtype matrix parameters (appearing in CS theory) in a natural way. This paper proposes using these statistics for analyzing random compressed sensing matrices, in the nonasymptotic regime (relevant to practice). The aim is to address certain pessimisms of ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
Hoeffding’s Ustatistics model combinatorialtype matrix parameters (appearing in CS theory) in a natural way. This paper proposes using these statistics for analyzing random compressed sensing matrices, in the nonasymptotic regime (relevant to practice). The aim is to address certain pessimisms
ILUT: A Dual Threshold Incomplete LU Factorization
, 1994
"... In this paper we describe an Incomplete LU factorization technique based on a strategy which combines two heuristics. This ILUT factorization extends the usual ILU(0) factorization without using the concept of level of fillin. There are two traditional ways of developing incomplete factorization ..."
Abstract

Cited by 110 (6 self)
 Add to MetaCart
In this paper we describe an Incomplete LU factorization technique based on a strategy which combines two heuristics. This ILUT factorization extends the usual ILU(0) factorization without using the concept of level of fillin. There are two traditional ways of developing incomplete
Nonresponse rates and nonresponse bias in household surveys
 Public Opinion Quarterly
, 2006
"... Abstract Many surveys of the U.S. household population are experiencing higher refusal rates. Nonresponse can, but need not, induce nonresponse bias in survey estimates. Recent empirical findings illustrate cases when the linkage between nonresponse rates and nonresponse biases is absent. Despite th ..."
Abstract

Cited by 158 (0 self)
 Add to MetaCart
this, professional standards continue to urge high response rates. Statistical expressions of nonresponse bias can be translated into causal models to guide hypotheses about when nonresponse causes bias. Alternative designs to measure nonresponse bias exist, providing different but incomplete
Results 1  10
of
2,333