Results 41 to 50 of about 10,348 (206)

Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework

, 2021
The Markov-modulated Poisson process is utilised for count modelling in a variety of areas such as queueing, reliability, network and insurance claims analysis.
Taylor, G, Xian, A, Wong, B, Avanzi, B
core   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

COVARIANCE STRUCTURE OF INTERRUPTED MARKOV MODULATED POISSON PROCESS

Journal of the Operations Research Society of Japan, 1993
Summary: We consider the covariance structure of an interrupted Markov modulated Poisson process. In this process, periods of on-time and off-time alternate; the on-time interval has a phase-type distribution and the off-time interval has a general one. The off-time period represents the time during which no customers arrive.
openaire   +2 more sources

Edges as ecological filters: Asymmetrical orientation‐specific arthropod activity across forest boundaries

Insect Science, EarlyView.
Moderate retention forestry creates structurally sharp forest edges that act as ecological filters, shaping orientation‐specific activity of ground‐dwelling arthropods. Using drift‐fence pitfall traps, we show that activity aligned with ecotones is more frequent than activity across forest–clearcut boundaries, particularly among detritivores.
Dominik Stočes, Ondřej Košulič, Adrián Purkart, Jan Šipoš   +3 more
wiley   +1 more source

Markovian Transition Counting Processes: An Alternative to Markov Modulated Poisson Processes

, 2021
Stochastic models for performance analysis, optimization and control of queues hinge on a multitude of alternatives for input point processes. In case of bursty traffic, one very popular model is the \textit{Markov Modulated Poisson Process} (MMPP), however it is not the only option.
Asanjarani, Azam, Hautphenne, Sophie, Nazarathy, Yoni   +2 more
openaire   +2 more sources

Weekend Overload: Day‐to‐Day Fluctuations of Outdoor Recreation Affect Wild Mammals' Space‐Use in a Popular Forest Reserve Near Florence, Italy

Animal Conservation, EarlyView.
In an urban‐adjacent forested area, we investigated the spatial and temporal distribution of the wild mammal community in relation to day‐to‐day fluctuations of human presence occurring between working days and weekends. We deployed 52 camera‐traps systematically within an EU Natura 2000 area located within the metropolitan area of Florence, central ...
Ilaria Greco, Marco Salvatori, Claudio Bruzzone, Gianluca Serra, Giovanni Galipò, Davide Travaglini, Francesco Rovero   +6 more
wiley   +1 more source

On a single-server queue with fixed accumulation level, state dependent service, and semi-Markov modulated input flow

International Journal of Mathematics and Mathematical Sciences, 1992
The authors study the queueing process in a single-server queueing system with state dependent service and with the input modulated by a semi-Markov process embedded in the queueing process. It is also assumed that the server capacity is r≥1 and that any
Jewgeni H. Dshalalow, Gary Russell
doaj   +1 more source

Quantifying Species‐ and Community‐Level Predation by Carabids on Pests and Beneficials in Wheat and Beet Fields

Entomologia Experimentalis et Applicata, EarlyView.
Using a model that translates qualitative prey detection data (presence/absence in predator gut contents) into quantitative predation rates, we estimate species‐specific diets of nine carabid species across three cropping contexts (wheat, sugar beet, and fodder beet) for five prey types.
Marion Rosec, Yann Tricault, Sylvain Poggi, Elsa Canard, Ambre Sacco Martret de Préville, Pierre Gendron, Lena Barascou, Marianne Doehler, Ségolène Buzy, Aurore Arnoult, Anne Le Ralec, Manuel Plantegenest, Abel Masson   +12 more
wiley   +1 more source

Extensions of Markov Modulated Poisson Processes and Their Applications to Deep Earthquakes [PDF]

, 2021
<p>The focus of this thesis is on the Markov modulated Poisson process (MMPP) and its extensions, aiming to propose appropriate statistical models for the occurrence patterns of main New Zealand deep earthquakes. Such an attempt might be beyond the scope of the MMPP and its extensions, however we hope its main patterns can be characterized by ...
openaire   +1 more source

Measure‐valued processes for energy markets

Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero, Luca Di Persio, Francesco Guida, Sara Svaluto‐Ferro   +3 more
wiley   +1 more source