Results 101 to 110 of about 8,843 (310)
An Empirical Evaluation of Five Small Area Estimators [PDF]
This paper compares five small area estimators. We use Monte Carlo simulation in the context of both artificial and real populations. In addition to the direct and indirect estimators, we consider the optimal composite estimator with population weights ...
Alex Costa, Eva Ventura, Albert Satorra
core
Empirical Bayes minimax estimators of matrix normal means
, 1991 The paper considers estimation of matrix normal means. A class of empirical Bayes estimators is proposed which dominates the maximum likelihood estimator simultaneously for many quadratic losses.
Shieh, Gwowen, Ghosh, Malay
core +1 more source
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
On the performance of small-area estimators: Fixed vs. random area parameters [PDF]
Most methods for small-area estimation are based on composite estimators derived from design- or model-based methods. A composite estimator is a linear combination of a direct and an indirect estimator with weights that usually depend on unknown ...
Alex Costa, Eva Ventura, Albert Satorra
core
Muscle Control of an Extra Robotic Digit
Advanced Robotics Research, EarlyView.This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Entropy, 2014 This paper derives the entropy of a generalized half-logistic distribution based on Type-II censored samples, obtains some entropy estimators by using Bayes estimators of an unknown parameter in the generalized half-logistic distribution based on Type-II
Jung-In Seo, Suk-Bok Kang
doaj +1 more source
Objective Bayes estimation and hypothesis testing : the reference-intrinsic approach [PDF]
, 2005 Conventional frequentist solutions to point estimation and hypothesis testing typically need ad hoc modifications when dealing with non-regular models, and may prove to be misleading.
Juárez, Miguel A.
core
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
"Prediction in Multivariate Mixed Linear Models" [PDF]
The multivariate mixed linear model or multivariate components of variance model with equal replications is considered.The paper addresses the problem of predicting the sum of the regression mean and the random e ects.When the feasible best linear ...
Tatsuka Kubokawa, M. S. Srivastava
core
Quasi-Bayes averaging of stochastic approximation estimators
, 1971 This paper describes a method for enhancing the performance of stochastic approximation (s.a.) techniques and for preventing convergence to a local maximum other than the global maximum of the underlying regression function.
Patrick, E.A., Liporace, L.A.
core +1 more source