Results 51 to 60 of about 43,795 (242)

Bias in parametric estimation: reduction and useful side-effects [PDF]

, 2013
The bias of an estimator is defined as the difference of its expected value from the parameter to be estimated, where the expectation is with respect to the model.
Albert, Botter, Breslow, Bull, Bull, Chernick, Cook, Cordeiro, Cordeiro, Cordeiro, Cox, Cox, Davison, Efron, Efron, Efron, Espinheira, Firth, Gourieroux, Gourieroux, Gouriéroux, Grün, Hall, Heinze, Hesterberg, Jeffreys, Jiang, Kosmidis, Kosmidis, Kosmidis, Kuk, Lancaster, Lehmann, McCullagh, Mehrabi, Pace, Peterson, Pfeffermann, Phillips, Prater, Quenouille, Randall, Reid, Schucany   +43 more
core   +3 more sources

Localized Temperature Monitoring in Mouse Brain during Light Delivery via a Non‐Planar Tapered Fiber‐Integrated µRTD Sensor

Advanced Materials, EarlyView.
We report a multifunctional tapered optical fiber integrating a conformal micro‐resistance temperature detector (µRTD) for local, real‐time thermometry during optical stimulation. The platform combines light‐delivery and temperature sensing within a minimally invasive footprint, enabling detection of sub‐degree cortical heating under representative ...
Antonio Balena, Marco Bianco, Barbara Spagnolo, Muhammad Fayyaz Kashif, Alberto Bramati, Massimo De Vittorio, Ferruccio Pisanello   +6 more
wiley   +1 more source

Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings

Advanced Materials, EarlyView.
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed, Yu‐Hsuan Peng, Azra Atabay, Krishna Gupta, Toni Müller, Carolin Fischer, Ilka M. Hermes, Jens‐Uwe Sommer, Michael Lang, Elisha Krieg   +9 more
wiley   +1 more source

Trending Time-Varying Coefficient Models With Serially Correlated Errors [PDF]

, 2002
In this paper we study time-varying coefficient models with time trend function and serially correlated errors to characterize nonlinear, nonstationary and trending phenomenon in time series.
Cai, Zongwu
core   +1 more source

Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets

, 2015
This paper compares classical parametric methods with recently developed Bayesian methods for system identification. A Full Bayes solution is considered together with one of the standard approximations based on the Empirical Bayes paradigm.
Chiuso, A., Pillonetto, G., Prando, G., Romeres, D.   +3 more
core   +1 more source

Direct Synthesis of High‐Valence Protein@UiO‐66 Composites: Linking Crystallization Pathways to Protein Encapsulation

Advanced Materials, EarlyView.
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz, Jana Glatz, Elisa Merced Olivas, Ramon Pons, Joseph P. Patterson, Mónica Giménez‐Marqués   +5 more
wiley   +1 more source

Two-Stage Estimation of Partially Linear Varying Coefficient Quantile Regression Model with Missing Data

Mathematics
In this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses.
Shuanghua Luo, Yuxin Yan, Cheng-yi Zhang
doaj   +1 more source

Semiparametric response model with nonignorable nonresponse [PDF]

, 2018
How to deal with nonignorable response is often a challenging problem encountered in statistical analysis with missing data. Parametric model assumption for the response mechanism is often made and there is no way to validate the model assumption with ...
Kim, Jae Kwang, Kim, Jae Kwang, Uehara, Masatoshi   +2 more
core   +3 more sources

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

Estimation of a semiparametric transformation model

, 2008
This paper proposes consistent estimators for transformation parameters in semiparametric models. The problem is to find the optimal transformation into the space of models with a predetermined regression structure like additive or multiplicative ...
Linton, Oliver, Sperlich, Stefan, Van Keilegom, Ingrid   +2 more
core   +1 more source