Results 71 to 80 of about 8,348,933 (325)

Efficient propagation of systematic uncertainties from calibration to analysis with the SnowStorm method in IceCube [PDF]

, 2019
Efficient treatment of systematic uncertainties that depend on a large number of nuisance parameters is a persistent difficulty in particle physics and astrophysics experiments.
Aartsen, MG, Ackermann, M, Adams, J, Aguilar, JA, Ahlers, M, Alispach, C, Andeen, K, Anderson, T, Ansseau, I, Anton, G, Argüelles, C, Atoum, BA, Auffenberg, J, Axani, S, Backes, P, Bagherpour, H, Bai, X, Barbano, A, Barwick, SW, Bastian, B, Baum, V, Baur, S, Bay, R, Beatty, JJ, Becker, KH, Benzvi, S, Berley, D, Bernardini, E, Besson, DZ, Binder, G, Bindig, D, Blaufuss, E, Blot, S, Bohm, C, Botner, O, Bourbeau, E, Bourbeau, J, Bradascio, F, Braun, J, Bron, S, Brostean-Kaiser, J, Burgman, A, Buscher, J, Busse, RS, Börner, M, Böser, S, Böttcher, J, Carver, T, Chen, C, Cheung, E, Chirkin, D, Choi, S, Clark, K, Classen, L, Clercq, CD, Coleman, A, Collin, GH, Conrad, JM, Coppin, P, Correa, P, Cowen, DF, Cross, R, Dave, P, De Vries, KD, De Wasseige, G, De With, M, Delaunay, JJ, Dembinski, H, Deoskar, K, Desiati, P, Deyoung, T, Diaz, A, Dujmovic, H, Dunkman, M, Dvorak, E, Díaz-Vélez, JC, Eberhardt, B, Ehrhardt, T, Eller, P, Engel, R, Evenson, PA, Fahey, S, Fazely, AR, Felde, J, Filimonov, K, Finley, C, Franckowiak, A, Friedman, E, Fritz, A, Gaisser, TK, Gallagher, J, Ganster, E, Garrappa, S, Gerhardt, L, Ghorbani, K, Glauch, T, Glüsenkamp, T, Ridder, SD, Tjus, JB, V., AB   +99 more
core  

Moderate deviations of minimum contrast estimators under contamination [PDF]

, 2003
Since statistical models are simplifications of reality, it is important in estimation theory to study the behavior of estimators also under distributions (slightly) different from the proposed model.
Inglot, Tadeusz, Kallenberg, Wilbert C.M.   +1 more
core   +2 more sources

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova, Christina van der Linden, Ningfei Li, Konstantin Butenko, Thea Berger, Garance M. Meyer, Ilkem Aysu Sahin, Lukas L. Goede, Bahne H. Bahners, Barbara Hollunder, Till A. Dembek, Andrew R. Pines, Martin Reich, Jens Volkmann, Vincent J. J. Odekerken, Rob M. A. de Bie, Xin Xu, Zhipei Ling, Chen Yao, Andrea A. Kühn, Surjo R. Soekadar, Kerstin Ritter, Michael T. Barbe, Veerle Visser‐Vandewalle, Michael D. Fox, Jan Niklas Petry‐Schmelzer, Nanditha Rajamani, Andreas Horn   +27 more
wiley   +1 more source

Modeling theoretical uncertainties in phenomenological analyses for particle physics

European Physical Journal C: Particles and Fields, 2017
The determination of the fundamental parameters of the Standard Model (and its extensions) is often limited by the presence of statistical and theoretical uncertainties.
Jérôme Charles, Sébastien Descotes–Genon, Valentin Niess, Luiz Vale Silva   +3 more
doaj   +1 more source

Robust variance estimation and inference for causal effect estimation

Journal of Causal Inference, 2023
We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh, Petersen Maya, Schwab Joshua, van der Laan Mark J.   +3 more
doaj   +1 more source

Creating invariance to "nuisance parameters" in face recognition [PDF]

, 2005
A major goal for face recognition is to identify faces where the pose of the probe is different from the stored face. Typical feature vectors vary more with pose than with identity, leading to very poor recognition performance.
Elder, J.H., Prince, S.J.D.
core  

Sufficient Statistics with Nuisance Parameters

The Annals of Mathematical Statistics, 1956
For some problems involving a parameter of interest and a nuisance parameter, it is possible to define a statistic sufficient for the parameter of interest. The definition has a number of applications in nonparametric theory. Two theorems are derived and used by way of illustration to prove that the sign test is a uniformly most powerful test for the ...
openaire   +3 more sources

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source

Inference with the Median of a Prior

Entropy, 2006
We consider the problem of inference on one of the two parameters of a probability distribution when we have some prior information on a nuisance parameter.
Ali Mohammad-Djafari, Adel Mohammadpour
doaj   +1 more source

Efficiency and Perceptions in Public CSR: An Integrated Efficiency–Perception Analysis of Spanish Defence Delegations

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez, Manuel Caravaca‐Garratón   +1 more
wiley   +1 more source