Results 81 to 90 of about 1,363,585 (195)

A physically based analytical model of flood frequency curves

Geophysical Research Letters, 2016
Predicting magnitude and frequency of floods is a key issue in hydrology, with implications in many fields ranging from river science and geomorphology to the insurance industry.
S. Basso, M. Schirmer, G. Botter
doaj   +1 more source

A statistically predictive model for future monsoon failure in India

Environmental Research Letters, 2012
Indian monsoon rainfall is vital for a large share of the world’s population. Both reliably projecting India’s future precipitation and unraveling abrupt cessations of monsoon rainfall found in paleorecords require improved understanding of its stability
Jacob Schewe, Anders Levermann
doaj   +1 more source

Validating Stochastic Models: Invariance Criteria for Systems of Stochastic Differential Equations and the Selection of a Stochastic Hodgkin-Huxley Type Model

, 2012
In recent years, many difficulties appeared when taking into account the inherent stochastic behavior of neurons and voltage-dependent ion channels in Hodgking-Huxley type models.
Cresson, Jacky, Puig, Bénédicte, Sonner, Stefanie   +2 more
core   +1 more source

A Complete Stochastic Volatility Model in the HJM Framework [PDF]

This paper considers a stochastic volatility version of the Heath, Jarrow and Morton (1992) term structure model. Market completeness is obtained by adapting the Hobson and Rogers (1998) complete stochastic volatility stock market model to the interest ...
Carl Chiarella, Oh-Kang Kwon
core  

COVID-19 Pandemic: a novel theoretical approach to epidemics

Medičnì Perspektivi
The coronavirus pan-demic 2019 (COVID-19) has completed numerous global spreading waves. Several models categorized as compart-mental, growth, and distributional have been derived and are intended to determine the spread dynamics of the pandemic and ...
Ugur Saglam
doaj   +1 more source

Variance Component Estimation (VCE)-Based Adaptive Stochastic Modeling for Enhanced Convergence and Robustness in GNSS Precise Point Positioning (PPP)

Remote Sensing
The stochastic model in Precise Point Positioning (PPP) defines the statistical properties of observations and the dynamic behavior of parameters. An inaccurate stochastic model can degrade positioning accuracy, ambiguity resolution, and other aspects of
Yanning Zheng, Yongfu Sun, Yubin Zhou, Shengli Wang, Yixu Liu   +4 more
doaj   +1 more source

Stochastic Constraint Programming

, 2008
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision variables (which we can set) and stochastic variables (which follow a ...
Walsh, Toby
core   +1 more source

Refinement of the novel tank diving test: toward standardized and robust analysis of anxiety-like behavior in zebrafish

Frontiers in Behavioral Neuroscience
The novel tank diving test (NTT) is a widely used behavioral assay for evaluating anxiety-like behaviors in zebrafish; however, results often exhibit considerable variability across different experimental settings.
Takuro Shinkai, Takuro Shinkai, Takuro Shinkai, Takuro Shinkai, Misa Nakai, Uzuki Takeshita, Kento Morita, Kento Morita, Yasuhito Shimada, Yasuhito Shimada, Yasuhito Shimada   +10 more
doaj   +1 more source

A stochastic model of blood flow to calculate blood dose during radiotherapy. [PDF]

Phys Med Biol, 2023
Beekman C, Withrow JD, Correa Alfonso CM, Pathak SP, Dawson RJ, Carrasco-Rojas N, Sforza AR, Colon CG, Bolch WE, Grassberger C, Paganetti H.   +10 more
europepmc   +1 more source

The Impact of Adjuvanted Influenza Vaccine on Disease Severity in the US: A Stochastic Model. [PDF]

Vaccines (Basel), 2023
Pelton SI, Mould-Quevedo JF, Nguyen VH.
europepmc   +1 more source