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J V Ross

Showing results (11-20 of 22) with videos related to

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Theoretical Population Biology|September 21, 2006
On parameter estimation in population modelsJ V Ross, T Taimre, P K Pollett
Theoretical Population Biology|November 6, 2017
Estimating the basic reproductive number during the early stages of an emerging epidemicNicolas P Rebuli, N G Bean, J V Ross
Theoretical Population Biology|January 13, 2009
On parameter estimation in population models II: multi-dimensional processes and transient dynamicsJ V Ross, D E Pagendam, P K Pollett
Mathematical Biosciences|November 26, 2009
Modelling population processes with random initial conditionsP K Pollett, A H Dooley, J V Ross
Mathematical Biosciences|August 15, 2017
Intervention to maximise the probability of epidemic fade-outP G Ballard, N G Bean, J V Ross
Science (New York, N.Y.)|January 19, 1979
Activation volume for creep in the upper mantleJ V Ross, H G Ave'lallemant, N L Carter
Journal of the Royal Society, Interface|November 1, 2008
Integrating stochasticity and network structure into an epidemic modelC E Dangerfield, J V Ross, M J Keeling
Journal of Mathematical Biology|December 26, 2016
Hybrid Markov chain models of S-I-R disease dynamicsNicolas P Rebuli, N G Bean, J V Ross
Journal of Theoretical Biology|January 23, 2016
The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demographyP G Ballard, N G Bean, J V Ross
Journal of the Royal Society, Interface|February 8, 2013
Epidemiological consequences of household-based antiviral prophylaxis for pandemic influenzaAndrew J Black, Thomas House, M J Keeling, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Theoretical Population Biology|September 21, 2006
On parameter estimation in population modelsJ V Ross, T Taimre, P K Pollett
Theoretical Population Biology|November 6, 2017
Estimating the basic reproductive number during the early stages of an emerging epidemicNicolas P Rebuli, N G Bean, J V Ross
Theoretical Population Biology|January 13, 2009
On parameter estimation in population models II: multi-dimensional processes and transient dynamicsJ V Ross, D E Pagendam, P K Pollett
Mathematical Biosciences|November 26, 2009
Modelling population processes with random initial conditionsP K Pollett, A H Dooley, J V Ross
Mathematical Biosciences|August 15, 2017
Intervention to maximise the probability of epidemic fade-outP G Ballard, N G Bean, J V Ross
Science (New York, N.Y.)|January 19, 1979
Activation volume for creep in the upper mantleJ V Ross, H G Ave'lallemant, N L Carter
Journal of the Royal Society, Interface|November 1, 2008
Integrating stochasticity and network structure into an epidemic modelC E Dangerfield, J V Ross, M J Keeling
Journal of Mathematical Biology|December 26, 2016
Hybrid Markov chain models of S-I-R disease dynamicsNicolas P Rebuli, N G Bean, J V Ross
Journal of Theoretical Biology|January 23, 2016
The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demographyP G Ballard, N G Bean, J V Ross
Journal of the Royal Society, Interface|February 8, 2013
Epidemiological consequences of household-based antiviral prophylaxis for pandemic influenzaAndrew J Black, Thomas House, M J Keeling, et al.
Pageof 3