Results 31 to 40 of about 4,252,902 (288)
Inverse functions for Monte Carlo simulations with applications to hitting time distributions
Engineering Reports, 2021 Random sampling is a ubiquitous tool in simulations and modeling in a variety of applications. There are efficient algorithms for several known distributions, but in general, one must resort to computing or approximating the inverse of the distributions ...
Avishai Ben‐David, Raghu Raghavan
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Fast Number Theoretic Transform for Ring-LWE on 8-bit AVR Embedded Processor
Sensors, 2020 In this paper, we optimized Number Theoretic Transform (NTT) and random sampling operations on low-end 8-bit AVR microcontrollers. We focused on the optimized modular multiplication with secure countermeasure (i.e., constant timing), which ensures high ...
Hwajeong Seo +6 more
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Inference in economic experiments
Economics: Journal Articles, 2020 Replication crisis and debates about p-values have raised doubts about what we can statistically infer from research findings, both in experimental and observational studies.
Hirschauer Norbert +3 more
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Random Sampling of Plane Partitions [PDF]
Combinatorics, Probability and Computing, 2009 This article presents uniform random generators of plane partitions according to size (the number of cubes in the 3D interpretation). Combining a bijection of Pak with the method of Boltzmann sampling, we obtain random samplers that are slightly superlinear: the complexity isO(n(lnn)3) in approximate-size sampling andO(n4/3) in exact-size sampling ...
Bodini, Olivier +2 more
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A Novel Particle Filter Based on Hybrid Deterministic and Random Sampling
IEEE Access, 2018 Particle filters are vital tools to solve the nonlinear/non-Gaussian filtering problems. However, it suffers from the problems of sample degeneracy and impoverishment.
Feng Yang, Litao Zheng, Yujuan Luo
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Multi-Descriptor Random Sampling for Patch-Based Face Recognition
Applied Sciences, 2021 While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life.
Ismahane Cheheb +4 more
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Sampling Random Transfer Functions [PDF]
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004 Recently, considerable attention has been paid to the use of probabilistic algorithms for analysis and design of robust control systems. However, since these algorithms require the generation of random samples of the uncertain parameters, their application has been mostly limited to the case of parametric uncertainty.
Constantino M. Lagoa +3 more
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Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Attenuation of species abundance distributions by sampling [PDF]
, 2015 Quantifying biodiversity aspects such as species presence/ absence, richness and abundance is an important challenge to answer scientific and resource management questions.
Shimadzu, Hideyasu +3 more
core +1 more source
Viruses, 2022 Infectious bursal disease (IBD), caused by IBD virus (IBDV), threatens the health of the poultry industry. Recently, a subtype of genogroup (G) 2 IBDV named G2d has brought a new threat to the poultry industry.
Tuyet Ngan Thai +4 more
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