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pro vyhledávání: '"Ian H. Dinwoodie"'
Autor:
Ian H. Dinwoodie
Publikováno v:
Communications in Statistics: Case Studies, Data Analysis and Applications. 5:163-169
We describe details of a missing data method for longitudinal motion sensor data. The method uses Markov Chain Monte Carlo computations on a Bayesian Markovian hierarchical model that is de...
Autor:
Ian H Dinwoodie
Publikováno v:
Discrete and continuous dynamical systems. Series B. 21(10)
For a Boolean network we consider asynchronous updates and define the exclusive asynchronous basin of attraction for any steady state or cyclic attractor. An algorithm based on commutative algebra is presented to compute the exclusive basin. Finally
Autor:
Ian H. Dinwoodie, Kruti Pandya
Publikováno v:
Annals of the Institute of Statistical Mathematics. 67:687-706
We propose methodology for exact statistical tests of hypotheses for models of network dynamics. The methodology formulates Markovian exponential families, then uses sequential importance sampling to compute expectations within basins of attraction a
Autor:
Ian H. Dinwoodie
Publikováno v:
Proceedings of the American Mathematical Society. 142:2991-3002
We consider Boolean dynamics for biological networks where stochasticity is introduced through asynchronous updates. An exact method is given for finding states which can reach a steady state with positive probability, and a method is given for findi
Autor:
Ian H. Dinwoodie
Publikováno v:
Methodology and Computing in Applied Probability. 16:161-168
An iterative method is given for computing the polynomials that vanish on the basin of attraction of a steady state in discrete polynomial dynamics with finite field coefficients. The algorithm is applied to dynamics of a T cell survival network wher
Autor:
Ian H. Dinwoodie
Publikováno v:
Linear Algebra and its Applications. 434:2176-2186
It is shown that Markov chains for sampling from combinatorial sets in the form of experimental designs can be made more efficient by using syzygies on gradient vectors. Examples are presented.
Autor:
Ian H. Dinwoodie
Publikováno v:
Statistics and Computing. 22:53-63
Two sequential methods are described for sampling constrained binary sequences from partial solutions. The backward method computes elimination ideals over finite fields and constructs partial solutions that extend. The forward method uses numerical
Autor:
Ian H. Dinwoodie
Publikováno v:
Statistical Methods and Applications. 19:171-192
This paper relates computational commutative algebra to tree classification with binary covariates. With a single classification variable, properties of uniqueness of a tree polynomial are established. In a binary multivariate context, it is shown ho
Autor:
Ian H. Dinwoodie
Publikováno v:
Journal of Statistical Computation and Simulation. 78:639-652
This paper presents a method for using end-to-end available bandwidth measurements in order to estimate available bandwidth on individual internal links. The basic approach is to use a power transform on the observed end-to-end measurements, model th
Autor:
Eric A. Vance, Ian H. Dinwoodie
Publikováno v:
Performance Evaluation. 64:613-628
Parametric models for estimating network link delays with incomplete data that incorporate spatial correlation are formulated. Fast numerical methods for estimation of parameters and confidence intervals are derived. It is shown that including correl