Results 91 to 100 of about 3,062,998 (197)
Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series [PDF]
This paper establishes several results for uniform convergence of nonparametric kernel density and regression estimates for the case where the time series regressors concerned are nonstationary null–recurrent Markov chains.
Dag Tjostheim, Degui Li, Jiti Gao
core
First Akhmatova’s book of verses “Vecher” (1912) is studied as a structural and semantic unit, the poet’s methods that determine the unity are analyzed. We track techniques by which semantic perception of “Vecher” as metacycle was consequentially renewed
L G Kikhney
doaj
Driven by advancements in computer vision and machine learning, automated systems have made remarkable strides in capturing real-time dynamics in table tennis. However, table tennis ball detection still faces numerous challenges.
Chang Hong, Xinjie Wang, Shu Zhou
doaj +1 more source
Recurrent algal blooms in coastal regions have become a pressing environmental concern, significantly impacting the ecological integrity of the Bohai Sea due to their sudden occurrence and rapid development.
Yina Qin +8 more
doaj +1 more source
Designing and verifying an instrument to measure religiosity
For downloading the full-text of this article please click here. Background and Objective: In spite of the paramount importance of religion in human life, the definition of its domain, concepts, and components is subject to theoretical and ...
Hasan Shahmirzalou +4 more
doaj
How to reveal people's preferences: Comparing time consistency and predictive power of multiple price list risk elicitation methods. [PDF]
Csermely T, Rabas A.
europepmc +1 more source
How time and risk preferences affect glucose control in type 2 diabetes patients
The attitude to self-care of individuals with type 2 diabetes (T2D) is commonly influenced by their time preferences (i.e., long-run discounting and time-consistency), and/or risk preference (i.e., risk tolerance).
Suparee W. Boonmanunt +9 more
doaj +1 more source
Advancing animal behavior recognition with self-supervised pre-training on unlabeled data
Deep learning-based animal activity recognition (AAR) achieves promising performance but remains constrained by its reliance on large labeled datasets.
Axiu Mao +4 more
doaj +1 more source
In many cases the optimal open-loop policy to influence agents who solve dynamic problems is time-inconsistent. We show how to construct a time-consistent open-loop policy rule. We also consider an additional restriction under which the time-consistent openloop policy is stationary.
openaire +1 more source

