Results 131 to 140 of about 19,056,268 (297)

Some Results on a Double Compound Poisson-Geometric Risk Model with Interference

open access: yesTheoretical Economics Letters, 2012
In this paper, we study the actual operating of an insurance company with random income. A double compound Poisson-Geometric risk model with interference was established. By using the martingale method, the adjustment coefficient equation, the formula and the upper bound of ruin probability, the time to reach a given level in this new risk mo- del were
openaire   +2 more sources

A spatial scan statistic for compound Poisson data

open access: yes, 2013
The topic of spatial cluster detection gained attention in statistics during the late 1980s and early 1990s. Effort has been devoted to the development of methods for detecting spatial clustering of cases and events in the biological sciences, astronomy ...
Rosychuk, Rhonda J., Chang, Hsing-Ming
core   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Analytical and Numerical Solution of a Poisson RBC model [PDF]

open access: yes
This paper analyses a RBC model in continuous time featuring deterministic incremental development of technology and stochastic fundamental inventions arriving according to a Poisson process.
Schlegel, Christoph
core  

Randomized Observation Periods for the Compound Poisson Risk Model: Dividends [PDF]

open access: yes, 2017
In the framework of the classical compound Poisson process in collective risk theory, we study a modification of the horizontal dividend barrier strategy by introducing random observation times at which dividends can be paid and ruin can be observed ...
Cheung, Eric C.K.   +2 more
core  

A Spatial Scan Statistic for Compound Poisson Data, Using Negative Binomial Distribution and Accounting for Population Stratification

open access: yes, 2015
Since the interest in studying spatial relations in plant populations was raised in the 1950s, much effort has been devoted to the development of methods for spatial data analysis. One such development focused on techniques for detecting spatial clusters
Rosychuk, Rhonda J., Chang, Hsing-Ming
core   +1 more source

Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding

open access: yesAdvanced Intelligent Systems, EarlyView.
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga   +5 more
wiley   +1 more source

Open-End Fund Investment with Dynamic Fund Flows and Passive Benchmarking: A Continuous-Time Stackelberg Game

open access: yesMathematics
This paper develops a stylized continuous-time framework for open-end fund investment in which state-dependent fund flows, passive benchmarking, and strategic manager–investor interaction are modeled jointly.
Yin Li   +3 more
doaj   +1 more source

Pseudo Compound Poisson Distributions in Risk Theory [PDF]

open access: yes, 2017
Using Laplace transforms and the notion of a pseudo compound Poisson distribution, some risk theoretical results are revisited. A well-known theorem by Feller (1968) and Van Harn (1978) on infinitely divisible distributions is generalized. The result may
Hürlimann, W.
core  

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy