搜索结果: 1-15 共查到“理论统计学 probabilistic”相关记录20条 . 查询时间(0.074 秒)
Multiple critical behavior of probabilistic limit theorems in the neighborhood of a tricritical point
Complex structures the transition phase Blume - Emery - Griffiths model spin moderate deviation the total spin
2014/12/25
We derive probabilistic limit theorems that reveal the intricate structure of the phase transitions in a mean-field version of the Blume–Emery–Griffiths model [Phys. Rev. A 4 (1971) 1071–1077]. These ...
Comparison of nonhomogeneous regression models for probabilistic wind speed forecasting
Comparison nonhomogeneous regression models probabilistic wind speed forecasting
2013/6/14
In weather forecasting, nonhomogeneous regression is used to statistically postprocess forecast ensembles in order to obtain calibrated predictive distributions. For wind speed forecasts, the regressi...
Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
Bayesian model averaging continuous ranked probability score ensemble calibration truncated normal distribution
2013/6/13
Bayesian model averaging (BMA) is a statistical method for post-processing forecast ensembles of atmospheric variables, obtained from multiple runs of numerical weather prediction models, in order to ...
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification
Bayesian Inference Model Averaging K-free model order estimation
2013/6/14
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertaint...
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
ground truth multi-annotator ordinal data a probabilistic approach
2013/6/13
A popular approach for large scale data annotation tasks is crowdsourcing, wherein each data point is labeled by multiple noisy annotators. We consider the problem of inferring ground truth from noisy...
A Unified Framework for Probabilistic Component Analysis
A Unified Framework Probabilistic Component Analysis
2013/5/2
In this paper, we present a unifying framework which reduces the construction of probabilistic component analysis techniques to a mere selection of the latent neighbourhood via the prior, thus providi...
Probabilistic temperature forecasting with statistical calibration in Hungary
Probabilistic temperature forecasting with statistical calibration in Hungary
2013/4/27
Weather forecasting is mostly based on the outputs of deterministic numerical weather forecasting models. Multiple runs of these models with different initial conditions result in forecast ensembles w...
Loss-sensitive Training of Probabilistic Conditional Random Fields
Loss-sensitive Training Probabilistic Conditional Random Fields
2011/7/19
We consider the problem of training probabilistic conditional random fields (CRFs) in the context of a task where performance is measured using a specific loss function. While maximum likelihood is th...
Probabilistic analysis of the human transcriptome with side information
data integration exploratory data analysis functional genomics probabilistic modeling transcriptomics
2011/3/25
Understanding functional organization of genetic information is a major challenge in modern biology. Following the initial publication of the human genome sequence in 2001, advances in high-throughput...
Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization
Detection and clustering of subspaces in point clouds hybrid linear modeling lp minimizationas relaxation for l0 minimization
2010/3/10
We assume data independently sampled froma mixture distribution on the unit ball of RD withK+1
components: the first component is a uniform distribution on that ball representing outliers and the oth...
A probabilistic approach to the reduite in optimal stopping
A probabilistic approach the reduite in optimal stopping
2009/9/23
In this work the approach to the reduite is made in
a simple and unified way. More precisely, we use the same probabilistic
technique to study the optimal stopping problem associated with
the redui...
It is shown that for every sequence (x,) of elements of
1'; the following two properties are equivalent:
(4 bJk1 12 UTI.
(b) (lS,/nllz, FJ is a quasimartingale, where S, = E,x,,
(4 being a sequenc...
ADIS——A robust pursuit algorithm for probabilistic，constrained and non-square blind source separation with application to fMRI
ADIS robust pursuit algorithm blind source separation fMRI
2010/3/18
In this article, we develop an algorithm for probabilistic and constrained projection pursuit.
Our algorithm called ADIS (automated decomposition into sources) accepts arbitrary non-linear
contrast ...
On a conjectured sharpness principle for probabilistic forecasting with calibration
sharpness principle probabilistic forecasting calibration
2010/3/18
This note proves a weak type of the sharpness principle as conjectured
by Gneiting, Balabdaoui, and Raftery [9] in connection with probabilistic
forecasting subject to calibration constraints. A str...
Probabilistic quantitative precipitation field forecasting using a two-stage spatial model
Discrete-continuous distribution ensemble forecast Gammadistribution latent Gaussian process numerical weather prediction
2010/3/17
Short-range forecasts of precipitation fields are needed in a wealth
of agricultural, hydrological, ecological and other applications. Forecasts
from numerical weather prediction models are often bi...