搜索结果: 1-15 共查到“理论统计学 random fields”相关记录15条 . 查询时间(0.177 秒)
Efficient Prediction Designs for Random Fields
optimal design pareto front empirical kriging gaussian process models
2013/6/14
For estimation and predictions of random fields it is increasingly acknowledged that the kriging variance may be a poor representative of true uncertainty. Experimental designs based on more elaborate...
Aggregation of autoregressive random fields and anisotropic long memory
Aggregation autoregressive random fields anisotropic long memory
2013/4/27
We introduce the notion of anisotropic long memory for random fields on $\mathbb{Z}^2$ whose partial sums on incommensurate rectangles with sides growing at different rates O(n) and $O(n^{H_1/H_2})$, ...
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...
Sharp oracle inequalities and slope heuristic for specification probabilities estimation in general random fields
Sharp oracle inequalities slope heuristic specification probabilities estimation
2011/7/5
We provide new methods for estimation of the one-point specification probabilities in general discrete random fields.
Some Theory for the Analysis of Random Fields——With Applications to Geostatistics
Some Theory Random Fields Applications to Geostatistics
2010/4/26
Ich erkl¨are ehrenw¨ortlich, dass ich die vorliegende Schrift verfasst und die
mit ihr unmittelbar verbundenen Arbeiten selbst durchgef¨uhrt habe. Die in
der Schrift verwendete Literatur sowie das A...
On the neighborhood radius estimation in Variable-neighborhood Markov Random Fields
Gibbs measures random lattice fields variable-neighborhood Markovrandom fields Markovian approximations Context algorithm consistent estimation
2010/3/11
We consider Markov Random Fields defined by finite-region conditional probabilities
depending on a neighborhood of the region which changes with the boundary conditions.
The formal definition of the...
ABC likelihood-free methods for model choice in Gibbs random fields
Approximate Bayesian Computation model choice Gibbs Random Fields Bayes factor protein folding
2009/9/24
Gibbs random fields (GRF) are polymorphous statistical models that can be used to analyse different types of dependence, in particular for spatially correlated data. However, when tho...
Sequential estimation in random fields。
Minimax sequential estimation based on random fields
Minimax sequential estimation random fields
2009/9/23
Minimax sequential estimation based on random fields。
Structure of Levy measures of stable random fields of Chentsov type
Structure of Levy measures stable random fields Chentsov type
2009/9/23
We study finite-dimensional distributions of symmetric
a-stable (abbreviated as SuS) random fields of Chentsov type,
0 < a < 2. We discuss a structure of the spherical components of Uvy
measures an...
Marcinkiewicz-type strong law of large numbers for pairwise independent random fields
Marcinhewin strong law d large numbers pairwise independent random variables random fields
2009/9/21
We present the Marcinkiewicz-type strong law of large
numbers for random fields {X,, n E Zd,) of pairwise independent random
variables, where Zd,, d & 1, is the set of positive d-dimensional
lattic...
Gaussian semiparametric estimation for random fields with singular spectrum
Discrete Fourier transforms random fields singular spectrum Whittle semiparametric estimates
2009/9/21
We analyze the asymptotic behaviour of the tapered
discrete Fourier transforms far random fields with singular spectrum.
The results are used to establish consistency and asymptotic normality
for s...
Linearly additive random fields with independent increments on time like curves
Linearly additive random fields independent increments time like curves
2009/9/21
Let V be a convex cone in Rn. A curve L=
{ I (t); t E R +) c R" is called a time-like curve if (E(s); s 3 t) c
1 (t)+ V holds for any t. A random field {X(r); t cRn) whose restriction
XIL(b) = X (1...
CURSE OF DIMENSIONALITY IN APPROXIMATION OF RANDOM FIELDS
Random fields Gaussian processes fractional Brownian sheet linear approximation error
2009/9/18
Consider a random field of tensor product-type X (t),
~ E [ O l, l d, given by
where ( A ( ~ ) i , 0 ~ 1 2 , is an orthonormal system in L, KO, 11 and
(tklkENd are non-correlated random variables w...
CONVERGENCE RATE IN CLT FOR VECTOR-VALUED RANDOM FIELDS WITH SELF-N63RMALIZATIQ)N
Random fields dependence conditions CLT random matrix normalization convergence rate
2009/9/18
Statistical version of the central limit theorem (CLT)
with random matrix normalization is established for random fields
with valuea in a space Rk (k 3 1). Dependence structure of the field
under c...