搜索结果: 46-60 共查到“知识库 统计学 Optimal”相关记录105条 . 查询时间(0.05 秒)
A Markov Chain approach to determine the optimal performance period and bad definition for credit scorecard
Markov Chain approach optimal performance period bad definition credit scorecard
2011/7/6
Performance period determination and bad definition for credit scorecard has been a mix of fortune for the typical data modeler.
Uniform Stability of a Particle Approximation of the Optimal Filter Derivative
Hidden Markov Models State-Space Models Sequential Monte Carlo
2011/7/5
Sequential Monte Carlo methods, also known as particle methods, are a widely used set of computational tools for inference in non-linear non-Gaussian state-space models.
Robust Adaptive Rate-Optimal Testing for the White Noise Hypothesis
Noise Hypothesis HAC Inference Automatic nonparametric tests Adaptive rate-optimality
2011/7/5
A new test is proposed for the weak white noise null hypothesis. The test is based on an automatic choice of the order for a Box-Pierce or Hong test statistic.
On construction of optimal mixed-level supersaturated designs
Coincidence number difference matrix equidistant design in-duced matrix orthogonal array
2011/6/20
Supersaturated design (SSD) has received much recent interest
because of its potential in factor screening experiments. In this pa-
per, we provide equivalent conditions for two columns to be fully
...
Adaptive and Optimal Online Linear Regression on L1-balls
online linear regression indi-vidual sequences Adaptive Optimal
2011/6/20
We consider the problem of online linear regression on indi-
vidual sequences. The goal in this paper is for the forecaster to output
sequential predictions which are, after T time rounds, almost as...
A note on the de la Garza phenomenon for locally optimal designs
Locally optimal designs saturated designs complete class the-orem moment spaces Chebyshev systems
2011/6/20
The celebrated de la Garza phenomenon states that for a polyno-
mial regression model of degree p−1 any optimal design can be based
on at most p design points. In a remarkable paper, Yang [Ann...
Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional
Best polynomial approximation ℓ 1 norm composite hypothe-ses Hermite polynomial minimax lower bound nonsmooth functional optimal rate of convergence
2011/6/17
A general lower bound is developed for the minimax risk when
estimating an arbitrary functional. The bound is based on testing
two composite hypotheses and is shown to be effective in estimating
th...
Optimal Multistage Sampling in a Boundary-Crossing Problem
Asymptotic Brownian motion Group sequential Multistage Optimality
2011/6/17
Brownian motion with known positive drift is sampled in stages until
it crosses a positive boundary a. A family of multistage samplers that con-
trol the expected overshoot over the boundary by vary...
Optimal Reinforcement Learning for Gaussian Systems
Optimal Reinforcement Learning Gaussian Systems
2011/7/5
The exploration-exploitation tradeoff is among the central challenges of reinforcement learning. A hypothetical exact Bayesian learner would provide the optimal solution, but is intractable in general...
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Noisy matrix decomposition via convex relaxation high dimensions
2011/3/24
We analyze a class of estimators based on convex relaxation for solving high-dimensional matrix decomposition problems. The observations are the noisy realizations of the sum of an (appproximately) lo...
Optimal sequential change-detection for fractional stochastic differential equations
优化序贯Optimal sequential change-detection fractional stochastic differential equations
2011/3/18
The sequential detection of an abrupt and persistent change in the dynamics of an arbitrary continuous-path stochastic process is considered; the optimality of the cumulative sums (CUSUM) test is esta...
Asymptotically optimal parameter estimation under quantization constraints
Asymptotically quantization constraints parameter estimation
2011/3/18
The problem of decentralized parameter estimation is considered for diffusion-type processes whose drift coefficients are linear with respect to the unknown parameter. This problem is motivated by app...
Optimal measures and transition kernels
Optimization and Control (math.OC) Computational Complexity (cs.CC) Information Theory (cs.IT) Mathematical Physics (math-ph) Functional Analysis (math.FA) Machine Learning (stat.ML)
2010/12/17
We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on information of a Kullback-Leibler t...
Optimal experiment design in a filtering context with application to sampled network data
Optimal design, Kalman filter random walks
2010/10/19
We examine the problem of optimal design in the context of filtering multiple random walks. Specifically, we define the steady state E-optimal design criterion and show that the underlying optimizatio...
Asymptotics and optimal bandwidth selection for highest density region estimation
Density contour density level set kernel density estimator
2010/10/14
We study kernel estimation of highest-density regions (HDR). Our main contributions are two-fold. First, we derive a uniform-in-bandwidth asymptotic approximation to a risk that is appropriate for HD...