Multilocus Association Mapping Using Variable-Length Markov Chains [PDF]
The American Journal of Human Genetics, 2006 I propose a new method for association-based gene mapping that makes powerful use of multilocus data, is computationally efficient, and is straightforward to apply over large genomic regions. The approach is based on the fitting of variable-length Markov chain models, which automatically adapt to the degree of linkage disequilibrium (LD) between ...
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Compact gauge fields on Causal Dynamical Triangulations: a 2D case study
Journal of High Energy Physics, 2021 We discuss the discretization of Yang-Mills theories on Dynamical Triangulations in the compact formulation, with gauge fields living on the links of the dual graph associated with the triangulation, and the numerical investigation of the minimally ...
Alessandro Candido +3 more
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A Method for Estimating Source Depth Based on the Adjacent Mode Group Acoustic Pressure Field
Applied Sciences, 2023 In order to effectively estimate the depth of the source in the acoustic pressure field, this study investigated the relationship between the distribution of acoustic pressure fields in different adjacent mode groups and the depth of the source in ...
Jian Li +5 more
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KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing
IEEE Access, 2018 With the dramatic proliferation of global positioning system (GPS) devices, a rich range of research has been conducted on the analysis of GPS trajectories.
Xing Wang +3 more
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Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data [PDF]
, 2019 While nonlinear stochastic partial differential equations arise naturally in spatiotemporal modeling, inference for such systems often faces two major challenges: sparse noisy data and ill-posedness of the inverse problem of parameter estimation.
Lu, Fei, Monahan, Adam H., Weitzel, Nils
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Shape-constrained Estimation of Value Functions [PDF]
, 2013 We present a fully nonparametric method to estimate the value function, via simulation, in the context of expected infinite-horizon discounted rewards for Markov chains.
Glynn, Peter W., Mousavi, Mohammad
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Markov chain modeling of daily rainfall in Lay Gaint Woreda, South Gonder Zone, Ethiopia
Journal of Degraded and Mining Lands Management, 2018 Information on seasonal Kiremet and seasonal Belg rainfall amount is important in the rain fed agriculture of Ethiopia since more than 85% of the population is dependent on agriculture particularly on rain fed farming practices.
Birhan Getachew, Menberu Teshome
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An economic analysis of crop diversification and dynamics of cropping pattern in Karnataka, India
Humanities & Social Sciences Communications, 2023 The extent and nature of crop diversification and dynamics of cropping pattern in Karnataka state has been analyzed using secondary data collected from different publish sources of Directorate of Economics and Statistics (DES), Bangalore, Karnataka from ...
K.Thomas Felix, K. B. Ramappa
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Study on the Queue-Length Distribution in Geo/G(MWV)/1/N Queue with Working Vacations
Discrete Dynamics in Nature and Society, 2015 This paper analyzes a finite buffer size discrete-time Geo/G/1/N queue with multiple working vacations and different input rate. Using supplementary variable technique and embedded Markov chain method, the queue-length distribution solution in the form ...
Chuanyi Luo, Jiangyi Li, Yinghui Tang
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Extreme Quantum Advantage when Simulating Classical Systems with Long-Range Interaction
Scientific Reports, 2017 Classical stochastic processes can be generated by quantum simulators instead of the more standard classical ones, such as hidden Markov models. One reason for using quantum simulators has recently come to the fore: they generally require less memory ...
Cina Aghamohammadi +2 more
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