Results 61 to 70 of about 186,613 (269)
Continual decision‐making dynamics across biological organisms
ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley +1 more source
Integration by Parts and Martingale Representation for a Markov Chain
Integration-by-parts formulas for functions of fundamental jump processes relating to a continuous-time, finite-state Markov chain are derived using Bismut's change of measures approach to Malliavin calculus.
Tak Kuen Siu
doaj +1 more source
ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli +3 more
wiley +1 more source
Investment and Consumption with Regime-Switching Discount Rates [PDF]
This paper considers the problem of consumption and investment in a financial market within a continuous time stochastic economy. The investor exhibits a change in the discount rate. The investment opportunities are a stock and a riskless account.
Pirvu, Traian, Zhang, Huayue
core
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
The stability of conditional Markov processes and Markov chains in random environments
We consider a discrete time hidden Markov model where the signal is a stationary Markov chain. When conditioned on the observations, the signal is a Markov chain in a random environment under the conditional measure.
van Handel, Ramon
core +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Adaptive Continuous time Markov Chain Approximation Model to General Jump-Diffusions [PDF]
We propose a non-equidistant Q rate matrix formula and an adaptive numerical algorithm for a continuous time Markov chain to approximate jump-diffusions with affine or non-affine functional specifications.
Cerrato, Mario +2 more
core
Stochastic Sensor Scheduling for Networked Control Systems
Optimal sensor scheduling with applications to networked estimation and control systems is considered. We model sensor measurement and transmission instances using jumps between states of a continuous-time Markov chain.
Farokhi, Farhad, Johansson, Karl H.
core +1 more source

