Results 31 to 40 of about 184 (111)
In this article, Box‐Cox and Yeo‐Johnson transformation models are applied to two time series datasets of monthly temperature averages to improve the forecast ability. An application algorithm was proposed to transform the positive original responses using the first model and the stationary responses using the second model to improve the nonparametric ...
Sameera Abdulsalam Othman +2 more
wiley +1 more source
Predictions about the future are commonly evaluated through statistical tests. As shown by recent literature, many known tests are subject to adverse selection problems and cannot discriminate between forecasters who are competent and forecasters who are uninformed but predict strategically.
Luciano Pomatto
wiley +1 more source
In this paper, we present a common fixed point result for a pair of mappings defined on a b‐metric space, which satisfies quasi‐contractive inequality with nonlinear comparison functions. An application in solving a class of integral equations will support our results.
Zoran D. Mitrović +5 more
wiley +1 more source
A contraction principle in semimetric spaces
A branch of generalizations of the Banach Fixed Point Theorem replaces contractivity by a weaker but still effective property. The aim of the present note is to extend the contraction principle in this spirit for such complete semimetric spaces that fulfill an extra regularity property. The stability of fixed points is also investigated in this setting.
Bessenyei, Mihály, Páles, Zsolt
openaire +2 more sources
Alternative Approaches for Estimating Highest‐Density Regions
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley +1 more source
In this paper, we revisit the structure of multiplicative metric spaces and investigate analytic notions such as convergence, Cauchy sequences, boundedness, and density within this framework. We extend these concepts to their statistical counterparts, including statistical convergence, statistical Cauchy sequences, statistical boundedness, and ...
Listán García María C +4 more
wiley +1 more source
Caristi Type Coincidence Point Theorem in Topological Spaces [PDF]
A generalized Caristi type coincidence point theorem and its equivalences in the setting of topological spaces by using a kind of nonmetric type function are obtained.
Lei Wei, Jiang Zhu, Cheng-Cheng Zhu
core +1 more source
Existence of a non‐stationary equilibrium in search‐and‐matching models: TU and NTU
This paper proves the existence of a non‐stationary equilibrium in the canonical search‐and‐matching model with heterogeneous agents. Non‐stationarity entails that the number and characteristics of unmatched agents evolve endogenously over time.
Christopher Sandmann, Nicolas Bonneton
wiley +1 more source
Probabilistic verification in mechanism design
We introduce a model of probabilistic verification in mechanism design. The principal elicits a message from the agent and then selects a test to give the agent. The agent's true type determines the probability with which he can pass each test. We characterize whether each type has an associated test that best screens out all other types.
Ian Ball, Deniz Kattwinkel
wiley +1 more source
Global sensitivity analysis of integrated assessment models with multivariate outputs
Abstract Risk assessments of complex systems are often supported by quantitative models. The sophistication of these models and the presence of various uncertainties call for systematic robustness and sensitivity analyses. The multivariate nature of their response challenges the use of traditional approaches.
Leonardo Chiani +3 more
wiley +1 more source

