Results 201 to 210 of about 70,734 (340)

Bayesian compressed sensing with unknown measurement noise level

, 2013
Thomas Hansen, Peter Bjørn Jørgensen, Niels Lovmand Pedersen, Carles Navarro Manchón, Bernard H. Fleury   +4 more
openalex   +2 more sources

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source

Compressive sensing techniques based on secure data aggregation in WSNs. [PDF]

Sci Rep
Madkour ME, Soliman SE, Dessouky MI, Abd El-Samie FE, Hammad ME, Elsafrawey AS.   +5 more
europepmc   +1 more source

Contrast source inversion of sparse targets through multi-resolution Bayesian compressive sensing [PDF]

Marco Salucci, Lorenzo Poli, Francesco Zardi, Luca Tosi, Samantha Lusa, Andrea Massa   +5 more
openalex   +1 more source

Econometrics at the Extreme: From Quantile Regression to QFAVAR1

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte, Konstantinos N. Konstantakis, Dimitris Konstantios, Panayotis G. Michaelides, Arsenios‐Georgios N. Prelorentzos   +4 more
wiley   +1 more source

A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity. [PDF]

Sci Rep
S B, M K, Palanisamy S, Alshalali TAN.
europepmc   +1 more source

CHARA/MIRC OBSERVATIONS OF TWO M SUPERGIANTS IN PERSEUS OB1: TEMPERATURE, BAYESIAN MODELING, AND COMPRESSED SENSING IMAGING [PDF]

, 2014
Fabien Baron, John D. Monnier, L. L. Kiss, Hilding R. Neilson, M. Zhao, Matthew Anderson, Alicia Aarnio, E. Pedretti, N. Thureau, Theo A. ten Brummelaar, Stephen T. Ridgway, H. A. McAlister, J. Sturmann, L. Sturmann, N. Turner   +14 more
openalex   +1 more source

The Optimal Bribe: Price Versus Quantity Competition in Oligopolies

The Manchester School, EarlyView.
ABSTRACT We analyze an entry deterrence model between an incumbent firm and a potential entrant, where the incumbent strategically offers bribes to local officials to raise entry barriers. Our focus is a three‐stage Bertrand game under incomplete information in a differentiated goods market.
Vishavdeep Sharma, Krishnendu Ghosh Dastidar   +1 more
wiley   +1 more source

Research progress in flap temperature monitoring technologies and applications after transplantation. [PDF]

APL Bioeng
Hu T, Yan T, Chen J, Huang Q, Cui M, Han Y, Li K.   +6 more
europepmc   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

Plant Biotechnology Journal, EarlyView.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu   +7 more
wiley   +1 more source