Anthony Almudevar

Affiliations:
  • University of Rochester, USA


According to our database1, Anthony Almudevar authored at least 20 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
A stochastic contraction mapping theorem.
Syst. Control. Lett., April, 2023

Testing Sparsity Assumptions in Bayesian Networks.
CoRR, 2023

2016
Higher order density approximations for solutions to estimating equations.
J. Multivar. Anal., 2016

2014
On non-detects in qPCR data.
Bioinform., 2014

2013
Accelerating the convergence of value iteration by using partial transition functions.
Eur. J. Oper. Res., 2013

2012
An Extension of a Calibration-Free Trajectory Reconstruction Method for Wireless Networks.
IEEE Trans. Signal Process., 2012

Optimal Approximation Schedules for a Class of Iterative Algorithms, With an Application to Multigrid Value Iteration.
IEEE Trans. Autom. Control., 2012

Affymetrix GeneChip microarray preprocessing for multivariate analyses.
Briefings Bioinform., 2012

2011
A commentary on some recent methods in sibling group reconstruction based on set coverings.
Optim. Methods Softw., 2011

2010
A Hypothesis Test for Equality of Bayesian Network Models.
EURASIP J. Bioinform. Syst. Biol., 2010

Toward an optimized value iteration algorithm for average cost Markov decision processes.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
A Note on the Calculation of n-Statistics.
J. Bioinform. Comput. Biol., 2009

Selection of Statistical Thresholds in Graphical Models.
EURASIP J. Bioinform. Syst. Biol., 2009

2008
Approximate Calibration-Free Trajectory Reconstruction in a Wireless Network.
IEEE Trans. Signal Process., 2008

Approximate Fixed Point Iteration with an Application to Infinite Horizon Markov Decision Processes.
SIAM J. Control. Optim., 2008

Home monitoring using wearable radio frequency transmitters.
Artif. Intell. Medicine, 2008

2007
Optimal approximation schedules for iterative algorithms with application to dynamic programming.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2005
Using a Bayesian Posterior Density in the Design of Perturbation Experiments.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
Stability and optimality of a discrete production and storage model with uncertain demand.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2001
A Dynamic Programming Algorithm for the Optimal Control of Piecewise Deterministic Markov Processes.
SIAM J. Control. Optim., 2001


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