Results 81 to 90 of about 231,426 (276)
Adaptive orthogonal series estimation in additive stochastic regression models [PDF]
In this paper, we consider additive stochastic nonparametric regression models. By approximating the nonparametric components by a class of orthogonal series and using a generalized cross-validation criterion, an adaptive and simultaneous estimation ...
Howell Tong, Jiti Gao, Rodney C Wolff
core +1 more source
Nonparametric Renewal Function Estimation
The renewal function is a basic tool used in many probabilistic models and sequential analysis. Based on a random sample of size n, a nonparametric estimator of the renewal function is introduced. Asymptotic properties of the estimator such as consistency and asymptotic normality are developed.
openaire +3 more sources
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva +28 more
wiley +1 more source
In this paper, a nonparametric spatial-temporal self-exciting point process is proposed to model clustering features in emergency calls. Gaussian kernel density functions are considered.
Chenlong Li, Zhanjie Song, Xu Wang
doaj +1 more source
Long‐Term Elevated CO2 Improves Soil Health and Rice Yields in Paddy Fields
Combining the two longest‐running rice free‐air CO2 enrichment experiments with a global data synthesis, this study demonstrates that long‐term elevated CO2 consistently enhances soil health. In rice paddies, this improvement sustains the CO2 fertilization effect over decades.
Fan Jiang +22 more
wiley +1 more source
Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric
It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known.
Kyoo il Kim
doaj +1 more source
NFS1 Regulates IDH2 to Attenuate Abdominal Aortic Aneurysms via Interacting With SP2
The loss of NFS1 leads to its reduced binding with the transcription factor SP2, resulting in decreased expression of the downstream gene Idh2. This causes a shift in energy supply toward glycolysis in VSMCs, ultimately contributing to the occurrence and progression of AAA.
Luzheng Zhang +9 more
wiley +1 more source
Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies [PDF]
A number of studies have explored the semi- and nonparametric estimation of stochastic frontier models by using kernel regression or other nonparametric smoothing techniques. In contrast to popular deterministic nonparametric estimators, these approaches
Kortelainen, Mika
core +1 more source
Nonparametric Change-Point Estimation
Consider a sequence of independent random variables $\{X_i: 1 \leq i \leq n\}$ having cdf $F$ for $i \leq \theta n$ and cdf $G$ otherwise. A class of strongly consistent estimators for the change-point $\theta \in (0, 1)$ is proposed. The estimators require no knowledge of the functional forms or parametric families of $F$ and $G$. Furthermore, $F$ and
openaire +3 more sources
Heterogeneous cancer‐associated fibroblasts orchestrate dual immune microenvironments in LAGC. Abstract The potential for immunotherapy in patients with locally advanced gastric cancer (LAGC) is recently confirmed. To report the 3‐year follow‐up data are aimed from a novel clinical trial. This is a prospective single‐arm phase II trial.
Yao Lin +14 more
wiley +1 more source

