Results 51 to 60 of about 155 (148)

Novel tau-informed initialization for maximum likelihood estimation of copulas with discrete margins

Dependence Modeling
We study Gaussian-copula models with discrete margins, with primary emphasis on low-count (Poisson) data. Our goal is exact yet computationally efficient maximum likelihood (ML) estimation in regimes where many observations contain small counts, which ...
van Es Anna, Cantoni Eva
doaj   +1 more source

Discrimination of Observations into One of Two Elliptic Populations based on Monotone Training Samples

Monotone missing data, Elliptically contoured distributions, Estimation, Discriminant Analysis, Error rate, Multivariate t-distribution, 62H12, 62H15,
K. Zografos, A. Batsidis
core   +1 more source

Using sums-of-squares to prove Gaussian product inequalities

Dependence Modeling
The long-standing Gaussian product inequality (GPI) conjecture states that E[∏j=1n∣Xj∣yj]≥∏j=1nE[∣Xj∣yj]E\left[{\prod }_{j=1}^{n}{| {X}_{j}| }^{{y}_{j}}]\ge {\prod }_{j=1}^{n}E\left[{| {X}_{j}| }^{{y}_{j}}] for any centered Gaussian random vector (X1 ...
Russell Oliver, Sun Wei
doaj   +1 more source

Item response theory for longitudinal data: Item and population ability parameters estimation

Logistic model, covariance structures, multivariate latent distribution, repeated measure, binary response, 62F10, 62H05, 62H12, 62J02,
Dalton Andrade, Heliton Tavares
core   +1 more source

Test for Independence of the Variables with Missing Elements in One and the Same Column of the Empirical Correlation Matrix [PDF]

, 2008
2000 Mathematics Subject Classification: 62H15, 62H12.We consider variables with joint multivariate normal distribution and suppose that the sample correlation matrix has missing elements, located in one and the same column.
Veleva, Evelina
core  

Assessing copula models for mixed continuous-ordinal variables

Dependence Modeling
Vine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables.
Pan Shenyi, Joe Harry
doaj   +1 more source

Ultrasensitive Detection of Circulating LINE-1 ORF1p as a Specific Multicancer Biomarker. [PDF]

Cancer Discov, 2023
Taylor MS, Wu C, Fridy PC, Zhang SJ, Senussi Y, Wolters JC, Cajuso T, Cheng WC, Heaps JD, Miller BD, Mori K, Cohen L, Jiang H, Molloy KR, Chait BT, Goggins MG, Bhan I, Franses JW, Yang X, Taplin ME, Wang X, Christiani DC, Johnson BE, Meyerson M, Uppaluri R, Egloff AM, Denault EN, Spring LM, Wang TL, Shih IM, Fairman JE, Jung E, Arora KS, Yilmaz OH, Cohen S, Sharova T, Chi G, Norden BL, Song Y, Nieman LT, Pappas L, Parikh AR, Strickland MR, Corcoran RB, Mustelin T, Eng G, Yilmaz ÖH, Matulonis UA, Chan AT, Skates SJ, Rueda BR, Drapkin R, Klempner SJ, Deshpande V, Ting DT, Rout MP, LaCava J, Walt DR, Burns KH.   +58 more
europepmc   +1 more source

Discriminant analysis of multivariate repeated measures data with a Kronecker product structured covariance matrices

Classifiers, Repeated measures data, Kronecker product covariance structure, Maximum likelihood estimates, Primary 62H30, Secondary 62H12,
Mirosław Krzyśko, Michał Skorzybut
core   +1 more source

A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves

Non-convex problem, Constrained optimisation, Primal and dual problem, Robust estimators, Image analysis, 62J05, 90C26, 90C55, 90C90, 49M29, 65K05, 62H12, 62H35,
Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song Ieng   +2 more
core   +1 more source

Nonparametric methods in multivariate factorial designs

, 2000
A nonparametric approach to the analysis of multivariate data is presented that is based on seperate rankings for different variables and extends the results of Akritas ct al. (1997. J. Amer. Statist. Assoc.
Brunner, E., Munzel, U.
core   +1 more source