搜索结果: 1-15 共查到“统计学 exact”相关记录33条 . 查询时间(0.078 秒)
Exact static solutions for discrete ϕ4 models free of the Peierls-Nabarro barrier: Discretized first-integral approach
Discrete klein Gordon model the complete solution static static klein Gordon
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2014/12/25
We propose a generalization of the discrete Klein-Gordon models free of the Peierls-Nabarro barrier derived in Spreight [Nonlinearity 12, 1373 (1999)] and Barashenkov et al. [Phys. Rev. E 72, 035602(R...
Exact static solutions to a translationally invariant discrete phi4 model
Discrete phi4 models law of conservation of momentum the discrete model
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2014/12/25
For a discrete, translationally invariant phi4 model introduced by Barashenkov et al (2005 Phys. Rev. E 72 35602R), we provide the momentum conservation law and demonstrate how the first integral of t...
Calculation of Exact Estimators by Integration Over the Surface of an n-Dimensional Sphere
Calculation Exact Estimators Integration Over the Surface an n-Dimensional Sphere
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2013/6/13
This paper reconsiders the problem of calculating the expected set of probabilities , given the observed set of items {m_i}, that are distributed among n bins with an (unknown) set of probabiliti...
Model selection and clustering in stochastic block models with the exact integrated complete data likelihood
Random graphs stochastic block models integrated classication likelihood
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2013/4/27
The stochastic block model (SBM) is a mixture model used for the clustering of nodes in networks. It has now been employed for more than a decade to analyze very different types of networks in many sc...
A Novel Exact Representation of Stationary Colored Gaussian Processes (Fractional Differential Approach)
Digital Filtering Filtered White Noises Power Spectral Density Fractional Brownian Motion Fractional Stochastic Differential Equation Fractional Spectral Moments
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2013/4/28
A novel representation of functions, called generalized Taylor form, is applied to the filtering of white noise processes. It is shown that every Gaussian colored noise can be expressed as the output ...
The cost of using exact confidence intervals for a binomial proportion
Asymptotic expansion binomial distribution expected length sample size determination proportion
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2013/4/27
When computing a confidence interval for a binomial proportion p one must choose between using an exact interval, which has a coverage probability of at least 1-{\alpha} for all values of p, and a sho...
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
Markov Chain Monte Carlo Hamiltonian Monte Carlo Truncated Multivariate Gaus-sians
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2012/9/17
We present a Hamiltonian Monte Carlo algorithm to sample from multivariate Gaussian distri-butions in which the target space is constrained by linear and quadratic inequalities or products thereof. Th...
Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals
Tight Measurement Bounds Exact Recovery Structured Sparse Signals
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2011/7/6
Standard compressive sensing results state that to exactly recover an s sparse signal in R^p, one requires O(s\cdotlog p) measurements. While this bound is extremely useful in practice, often real wor...
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Markov chain Monte Carlo Metropolis-Hastings information theory data representation
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2011/6/21
The Metropolis-Hastings (MH) algorithm is the prototype for a class of Markov chain Monte Carlo methods
that propose transitions between states and then accept or reject the proposal. These methods g...
Markov chain Monte Carlo for exact inference for diffusions
Exact inference Exact simulation Markov chain Monte Carlo Stochastic differential equa-tion Transition density
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2011/3/25
We develop exact Markov chain Monte Carlo methods for discretely-sampled, directly and indirectly observed diffusions. The qualification "exact" refers to the fact that the invariant and limiting dist...
Supersymmetry approach to Wishart correlation matrices: Exact results
Statistics Theory (math.ST) Mathematical Physics (math-ph)
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2010/12/17
We calculate the marginal probability density of real and complex Wishart correlation matrices. For deep mathematical reasons, no explicit expression could be obtained for the real case so far. We cir...
Exact block-wise optimization in group lasso for linear regression
Block coordinate descent convex optimization group LASSO sparse group LASSO
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2010/10/19
The group lasso is a penalized regression method, used in regression problems where the covariates are partitioned into groups to promote sparsity at the group level. Existing methods for finding the ...
Exact properties of Efron's biased coin randomization procedure
Accidental bias exact distribution theory randomization test
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2010/10/14
Efron [Biometrika 58 (1971) 403--417] developed a restricted randomization procedure to promote balance between two treatment groups in a sequential clinical trial. He called this the biased coin des...
Exact calculation of false discovery rate for step-up and step-down procedures
False Discovery Rate multiple testing step-up procedure positive correlations Power equicorrelated multivariate normal distribution
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2010/3/10
We derive exact formulas for the false discovery rate (FDR) and
the Power of any step-up and step-down procedures and for the s-
th moment of the false discovery proportion (FDP) of any step-up
pro...
Exact lower bounds on the exponential moments of Winsorized and truncated random variables
exponential moments exact lower bounds Win-sorization truncation large deviations nonuniform Berry-Esseen bounds
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2010/3/9
Exact lower bounds on the exponential moments of min(y,X)
and X I {X < y} are provided given the first two moments of a random
variable X. These bounds are useful in work on large deviations probabi...