搜索结果: 1-10 共查到“理论统计学 confidence intervals”相关记录10条 . 查询时间(0.065 秒)
Confidence Intervals for Random Forests:The Jackknife and the Infinitesimal Jackknife
bagging jackknife methods Monte Carlo noise variance estimation
2015/8/21
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimates for bagging propos...
Adaptive confidence intervals for regression functions under shape constraints
Adaptation confidence interval convex function coverage probability expected length minimax estimation modulus of continuity monotone func-tion nonparametric regression shape constraint white noise model
2013/6/14
Adaptive confidence intervals for regression functions are constructed under shape constraints of monotonicity and convexity. A natural benchmark is established for the minimum expected length of conf...
On confidence intervals in regression that utilize uncertain prior information about a vector parameter
Frequentist confidence interval Prior information Linear regression
2013/4/28
Consider a linear regression model with n-dimensional response vector, p-dimensional regression parameter beta and independent normally distributed errors. Suppose that the parameter of interest is th...
Adaptive Markov Chain Monte Carlo confidence intervals
Adaptive Markov Chain Monte Carlo confidence intervals
2012/11/22
In Adaptive Markov Chain Monte Carlo (AMCMC) simulation, classical estimators of asymptotic variances are inconsistent in general. In this work we establish that despite this inconsistency, confidence...
Asymptotic multivariate normality for the subseries values of a general statistic form a stationary sequence - with applications to nonparametric confidence intervals
Asymptotic multivariate the subseries values of a general statistic a stationary sequence
2009/9/23
Asymptotic multivariate normality for the subseries values of a general statistic form a stationary sequence - with applications to nonparametric confidence intervals。
AsympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem
parametric tests and confidence intervals central limit theorem R package
2010/3/18
This paper describes an R package implementing large sample tests and confidence
intervals (based on the central limit theorem) for various parameters. The one and
two sample mean and variance conte...
Functional asymptotic confidence intervals for a common mean of independent random variables
Lindeberg’s condition symmetric random variable Student statistic Student process Wiener process
2010/3/17
We consider independent random variables (r.v.’s) with a common
mean μ that either satisfy Lindeberg’s condition, or are symmetric
around μ. Present forms of existing functional central limit theore...
Exact confidence intervals for the Hurst parameter of a fractional Brownian motion
Concentration Inequalities Exact confidence intervals Fractional Brownian motion Hurst parameter
2010/3/17
In this short note, we show how to use concentration inequalities in order to build exact
confidence intervals for the Hurst parameter associated with a one-dimensional fractional Brownian motion.
In this short preliminary note I apply the methodology of gametheoretic
probability to calculating non-asymptotic confidence intervals
for the coefficient of a simple first order scalar autoregressi...
Bootstrapping confidence intervals for the change-point of time series
confidence intervals block bootstrap mixing change in mean
2010/4/29
We study an AMOC time series model with an abrupt change in the mean and
dependent errors that fulfill certain mixing conditions. We obtain confidence intervals
for the unknown change-point via boot...