Results 51 to 60 of about 15,562 (261)

Obtaining Land Cover Type for Urban Storm Flood Model in UAV Images Using MRF and MKFCM Clustering Techniques

open access: yesISPRS International Journal of Geo-Information, 2019
With the accelerated urbanization process, cities are suffering from extremely heavy rain and urban storm water logging disasters in recent years. To provide reliable and effective information for urban management and emergency decision-making, the ...
Yanmei Wang   +4 more
doaj   +1 more source

Lévy Interest Rate Models with a Long Memory

open access: yesRisks, 2021
This article proposes an interest rate model ruled by mean reverting Lévy processes with a sub-exponential memory of their sample path. This feature is achieved by considering an Ornstein–Uhlenbeck process in which the exponential decaying kernel is ...
Donatien Hainaut
doaj   +1 more source

On the Markov Transition Kernels for First Passage Percolation on the Ladder [PDF]

open access: yesJournal of Applied Probability, 2011
We consider the first passage percolation problem on the random graph with vertex set N x {0, 1}, edges joining vertices at a Euclidean distance equal to unity, and independent exponential edge weights. We provide a central limit theorem for the first passage times ln between the vertices (0, 0) and (n, 0), thus extending earlier results about the ...
openaire   +4 more sources

Advances in causal discovery methods for ecological time series

open access: yesBiological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki   +6 more
wiley   +1 more source

Valuation of Defaultable Corporate Bonds Under Regime Switching

open access: yesMathematics
This study investigates the valuation of defaultable corporate bonds using a two-factor model of Markov-modulated stochastic volatility with double exponential jumps (2FMMSVDEJ).
Yu-Min Lian, Jun-Home Chen
doaj   +1 more source

An adaptive Markov chain algorithm applied over map-matching of vehicle trip GPS data

open access: yesGeo-spatial Information Science, 2021
Markov chains have frequently been applied to match the probable routes with a set of GPS trip data that a pilot vehicle is emitting over a specific graph road network.
Bilge Kaan Karamete   +2 more
doaj   +1 more source

Spatiotemporal heterogeneity and driving factors of PM2.5 reduction efficiency: An empirical analysis of three urban agglomerations in the Yangtze River Economic Belt, China

open access: yesEcological Indicators, 2021
Understanding the spatiotemporal heterogeneities of PM2.5 reduction efficiency (PRE) and their driving factors are substantially critical for the atmospheric environmental governance.
Ke-Liang Wang   +4 more
doaj   +1 more source

Positive Operator Valued Measures and Feller Markov kernels [PDF]

open access: yesJournal of Mathematical Analysis and Applications, 2016
A Positive Operator Valued Measure (POVM) is a map $F:\mathcal{B}(X)\to\mathcal{L}_s^+(\mathcal{H})$ from the Borel $σ$-algebra of a topological space $X$ to the space of positive self-adjoint operators on a Hilbert space $\mathcal{H}$. We assume $X$ to be Hausdorff, locally compact and second countable and prove that a POVM $F$ is commutative if and ...
openaire   +3 more sources

Vine copula knockoffs for variable selection in gene expression studies

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina   +3 more
wiley   +1 more source

Representative Points Based on Power Exponential Kernel Discrepancy

open access: yesAxioms, 2022
Representative points (rep-points) are a set of points that are optimally chosen for representing a big original data set or a target distribution in terms of a statistical criterion, such as mean square error and discrepancy.
Zikang Xiong   +3 more
doaj   +1 more source

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