Results 81 to 90 of about 117,399 (299)
Nonparametric Inference on Structural Breaks [PDF]
This paper proposes estimators of location and size of structural breaks in a, possibly dynamic, nonparametric regression model. The structural breaks can be located at given periods of time and/or they can be explained by the values taken by some ...
Delgado, Miguel A. +3 more
core +1 more source
Placental Site Trophoblastic Tumor Acquires Immune Functions by Incorporating Host Maternal Genes
PSTT cells, through cell fusion with B cells, incorporate abundant non‐inherited maternal genes that are detectable by DNIMA. These hybrid cells acquire immunotherapy‐resistant genetic changes and increase the expression of B cell‐derived immune‐related molecules such as Ig, HLA, LILRB, SIGLEC10, and so on, creating an immunotolerant environment around
Kyosuke Kagami +15 more
wiley +1 more source
Monte Carlo Pricing of American Options Using Nonparametric Regression [PDF]
This paper provides an introduction to Monte Carlo algorithms for pricing American options written on multiple assets, with special emphasis on methods that can be applied in a multi-dimensional setting.
Pizzi Claudio, Pellizzari Paolo
core
Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li +13 more
wiley +1 more source
A New Nonparametric Regression for Longitudinal Data
In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation.
Hamed Tabesh +2 more
doaj
Comparative analysis for traffic flow forecasting models with real-life data in Beijing
Rational traffic flow forecasting is essential to the development of advanced intelligent transportation systems. Most existing research focuses on methodologies to improve prediction accuracy.
Yaping Rong +5 more
doaj +1 more source
Online Nonparametric Regression
We establish optimal rates for online regression for arbitrary classes of regression functions in terms of the sequential entropy introduced in (Rakhlin, Sridharan, Tewari, 2010). The optimal rates are shown to exhibit a phase transition analogous to the i.i.d./statistical learning case, studied in (Rakhlin, Sridharan, Tsybakov 2013). In the frequently
Alexander Rakhlin, Karthik Sridharan
openaire +3 more sources
Strictly monotone and smooth nonparametric regression for two or more variables [PDF]
In this article a new monotone nonparametric estimate for a regression function of two or more variables is proposed. The method starts with an unconstrained nonparametric regression estimate and uses successively one-dimensional isotonization procedures.
Dette, Holger, Scheder, Regine
core
Do Universal Free School Meals Improve the Dietary Quality of Food‐At‐Home Purchases?
ABSTRACT Since 2014, the number of schools offering universal free meals to all enrolled children without requiring annual meal applications has increased meaningfully. Using USDA's Purchase to Plate Crosswalk, a difference‐in‐differences framework, and a nationwide consumer panel, the effect of universal‐free‐meal exposure on the diet quality of food ...
Xueying Ma +2 more
wiley +1 more source
Empirical likelihood estimators for the error distribution in nonparametric regression models [PDF]
The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method.
Kiwitt, Sebastian +2 more
core

