Results 81 to 90 of about 45,407 (261)

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Penalty Strategies in Semiparametric Regression Models

open access: yesMathematical 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   +3 more
doaj   +1 more source

Local polynomial regression with truncated or censored response [PDF]

open access: yes
Truncation or censoring of the response variable in a regression model is a problem in many applications, e.g. when the response is insurance claims or the durations of unemployment spells.
Cantoni, Eva   +2 more
core  

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

open access: yes, 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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Exponentiated Generalized Weibull Exponential Distribution: Properties, Estimation and Applications

open access: yesComputational 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

Nonparametric Slope Estimators for Fixed-Effect Panel Data [PDF]

open access: yes
In panel data the interest is often in slope estimation while taking account of the unobserved cross sectional heterogeneity. This paper proposes two nonparametric slope estimation where the unobserved effect is treated as fixed across cross section. The
Kusum Mundra
core  

Divergence based Robust Estimation of the Tail Index through An Exponential Regression Model

open access: yes, 2016
The extreme value theory is very popular in applied sciences including Finance, economics, hydrology and many other disciplines. In univariate extreme value theory, we model the data by a suitable distribution from the general max-domain of attraction ...
Ghosh, Abhik
core   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

open access: yesAdvanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour   +3 more
wiley   +1 more source

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

open access: yesStatistical 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   +2 more
doaj   +1 more source

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