Results 121 to 130 of about 3,921,248 (201)

Correction to: Nonparametric estimation of conditional survival function with time-varying covariates using DeepONet. [PDF]

Lifetime Data Anal
Hu B, Nan B.
europepmc   +1 more source

Global Bahadur representation for nonparametric censored regression quantiles and its applications [PDF]

This paper is concerned with the nonparametric estimation of regression quantiles where the response variable is randomly censored. Using results on the strong uniform convergence of U-processes, we derive a global Bahadur representation for the weighted
Yingcun Xia, Oliver Linton, Efang Kong
core  

Depth Imaging Through Smoke Using Nonparametric Estimation for Array Gm-APD LiDAR. [PDF]

Sensors (Basel)
Zhang Y, Hou Q, Wang H, Zhang B, Zhou J, Sun J.   +5 more
europepmc   +1 more source

Nonparametric Estimation of Labor Supply Functions Generated by Piece Wise Linear Budget Constraints [PDF]

The basic idea in this paper is that labor supply can be viewed as a function of the entire budget set, so that one way to account non-parametrically for a nonlinear budget set is to estimate a nonparametric regression where the variable in the ...
Blomquist, Sören, Newey, Whitney
core  

Nonparametric estimation of conditional survival function with time-varying covariates using DeepONet. [PDF]

Lifetime Data Anal
Hu B, Nan B.
europepmc   +1 more source

Non-Markov Nonparametric Estimation of Complex Multistate Outcomes After Hematopoietic Stem Cell Transplantation. [PDF]

Biom J
Vilsmeier J, Schmeller S, Fürst D, Beyersmann J.   +3 more
europepmc   +1 more source

Discussion on "Horseshoe-based Bayesian nonparametric estimation of effective population size trajectories" by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin. [PDF]

Biometrics, 2020
Cappello L, Ghosh S, Palacios JA.
europepmc   +1 more source

Nonparametric Estimation of Transition Intensities in Interval-Censored Markov Multistate Models Without Loops. [PDF]

Stat Med
Gomon D, Putter H.
europepmc   +1 more source

Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density. [PDF]

In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas for estimating a smooth density on [0, 1]. We consider a parametrization of Beta distributions in terms of mean and scale parameters and construct a ...
Rousseau, Judith
core  

Nonparametric estimation via partial derivatives. [PDF]

J R Stat Soc Series B Stat Methodol
Dai X.
europepmc   +1 more source