Results 71 to 80 of about 43,795 (242)

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Penalty Strategies in Semiparametric Regression Models

Mathematical and Computational Applications
This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...
Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz   +3 more
doaj   +1 more source

Spatial Correlation Robust Inference with Errors in Location or Distance [PDF]

This paper presents results from a Monte Carlo study concerning inference with spatially dependent data. We investigate the impact of location/distance measurement errors upon the accuracy of parametric and nonparametric estimators of asymptotic ...
Conley, Timothy G., Molinari, Francesca
core  

Efficient inference about the tail weight in multivariate Student $t$ distributions

, 2014
We propose a new testing procedure about the tail weight parameter of multivariate Student $t$ distributions by having recourse to the Le Cam methodology. Our test is asymptotically as efficient as the classical likelihood ratio test, but outperforms the
Ley, Christophe, Neven, Anouk
core   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Exponentiated Generalized Weibull Exponential Distribution: Properties, Estimation and Applications

Computational Journal of Mathematical and Statistical Sciences
Real-life sciences rely heavily on statistical modeling because new applications and phenomena pop up constantly, increasing the demand for new distributions.
Anuwoje Ida L. Abonongo, John Abonongo
doaj   +1 more source

Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data

, 2014
We consider efficient estimation of the Euclidean parameters in a generalized partially linear additive models for longitudinal/clustered data when multiple covariates need to be modeled nonparametrically, and propose an estimation procedure based on a ...
Cheng, Guang, Huang, Jianhua Z., Zhou, Lan   +2 more
core   +1 more source

Cryo‐EM Structure Guided Engineering of Botulinum Neurotoxin A With Advanced Receptor Binding Affinity and Therapeutical Benefits

Advanced Science, EarlyView.
The butterfly unfolded wing in an open form structure of botulinum neurotoxin type A (BoNT/A) at physiological‐state was confirmed at 2.85 Å resolution by cryo‐electron microscopy (cryo‐EM). Structure‐guided protein engineering significantly enhanced the receptor‐binding affinity, therapeutic efficacy, and safety of the engineered toxin variants ...
Wenrui Wang, Zhaxi Zerang, Linjin You, Ziye Liu, Rong Nie, Fuwei Qi, Fenfen Gao, Chengmu Zhao, Wantong Ma, Jinghan He, Xiaoru Wang, Shanquan Wu, Bo Liu, Xinyao Liu, Dongsheng Lei, Dejuan Zhi, Dongsheng Wang   +16 more
wiley   +1 more source

Lehmann-type family of location-scale t distributions with two degrees of freedom

Statistical Theory and Related Fields
This article introduces a three-parameter Lehman-type t distribution having 2 degrees of freedom, that is capable of fitting positive and negative skewed data sets.
Vikas Kumar Sharma, Komal Shekhawat, Princy Kaushik   +2 more
doaj   +1 more source

The Multivariate k-Nearest Neighbor Model for Dependent Variables : One-Sided Estimation and Forecasting [PDF]

This article gives the asymptotic properties of multivariate k-nearest neighbor regression estimators for dependent variables belonging to Rd, d > 1.
Dominique Guegan, Patrick Rakotomarolahy
core