Results 91 to 100 of about 2,925,819 (300)
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
DTS-TSCH: Adaptive Thompson sampling for channel estimation in TSCH networks for IIoT
Real-time data transmission is crucial for the Industrial Internet of Things (IIoT), where communication networks must ensure high reliability and deterministic behavior.
Adugna Necho Mulatu +3 more
doaj +1 more source
On a Scheme of Sampling of Two Units With Inclusion With Inclusion
This paper introduces an unequal probability sampling without replacement scheme with inclusion probability proportional to size. This new scheme possesses some desirable properties with regard to ?i and ?ij , and provides a non-negative variance ...
Sarat C. Senapati, L.N. Sahoo, G. Mishra
doaj +1 more source
A Broader View of Thompson Sampling
Thompson Sampling is one of the most widely used and studied bandit algorithms, known for its simple structure, low regret performance, and solid theoretical guarantees. Yet, in stark contrast to most other families of bandit algorithms, the exact mechanism through which posterior sampling (as introduced by Thompson) is able to "properly" balance ...
Yanlin Qu +2 more
openaire +3 more sources
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley +1 more source
Application of Balanced Sampling, Non-Response and Calibrated Estimator
The aim of this paper is to study the interplay between balanced sampling, non-response and calibratedestimator by simulation. The results of seven strategies, embracing a combination of balanced sampling via the cubemethod, simple random cluster ...
Ieva Dirdaitė, Danutė Krapavickaitė
doaj +1 more source
Abstract Premise Cuscuta (dodders) consists of ~200 species circumscribed into four subgenera (Monogynella, Cuscuta, Pachystigma, and Grammica) and is the only parasitic genus in Convolvulaceae (the morning‐glory family). This group shows a significant diversity in plastid functionality and represents a rare mixotrophic system among parasitic plants ...
Asawari Albal, Saša Stefanović
wiley +1 more source
Distributed multi-robot active gathering for non-uniform agriculture and forestry information
Active information gathering is a fundamental task in multi-robot systems in agriculture, with applications in precision planting and sowing, field management and inspection, intelligent weeding and pest control, etc.
Jun Chen +8 more
doaj +1 more source
Strategic Learning in Multi-Player Bandit Problems: A Game-Theoretic Approach to Resource Allocation in Edge Computing [PDF]
This paper investigates strategic learning approaches for resource allocation in decentralized edge computing environments where multiple agents compete for limited resources without direct coordination.
Leng Xiutong
doaj +1 more source
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
Thompson sampling has impressive empirical performance for many multi-armed bandit problems. But current algorithms for Thompson sampling only work for the case of conjugate priors since these algorithms require to infer the posterior, which is often computationally intractable when the prior is not conjugate.
Yichi Zhou, Jun Zhu 0001, Jingwei Zhuo
openaire +3 more sources

