Probabilistic model checking for continuous-time Markov chains via sequential Bayesian inference
Probabilistic model checking for systems with large or unbounded state space is a
challenging computational problem in formal modelling and its applications. Numerical …
challenging computational problem in formal modelling and its applications. Numerical …
Probabilistic model checking for continuous time markov chains via sequential bayesian inference
Probabilistic model checking for systems with large or unbounded state space is a
challenging computational problem in formal modelling and its applications. Numerical …
challenging computational problem in formal modelling and its applications. Numerical …
Statistical probabilistic model checking with a focus on time-bounded properties
HLS Younes, RG Simmons - Information and Computation, 2006 - Elsevier
Probabilistic verification of continuous-time stochastic processes has received increasing
attention in the model-checking community in the past five years, with a clear focus on …
attention in the model-checking community in the past five years, with a clear focus on …
Data-efficient Bayesian verification of parametric Markov chains
Obtaining complete and accurate models for the formal verification of systems is often hard
or impossible. We present a data-based verification approach, for properties expressed in a …
or impossible. We present a data-based verification approach, for properties expressed in a …
Model reduction techniques for probabilistic verification of Markov chains
N Kamaleson - 2018 - etheses.bham.ac.uk
Probabilistic model checking is a quantitative verification technique that aims to verify the
correctness of probabilistic systems. Nevertheless, it suffers from the so-called state space …
correctness of probabilistic systems. Nevertheless, it suffers from the so-called state space …
Accelerated model checking of parametric Markov chains
Parametric Markov chains occur quite naturally in various applications: they can be used for
a conservative analysis of probabilistic systems (no matter how the parameter is chosen, the …
a conservative analysis of probabilistic systems (no matter how the parameter is chosen, the …
[PDF][PDF] Importance sampling for model checking of continuous time markov chains
Model checking real time properties on probabilistic systems requires computing transient
probabilities on continuous time Markov chains. Beyond numerical analysis ability, a …
probabilities on continuous time Markov chains. Beyond numerical analysis ability, a …
A two-phase approximation for model checking probabilistic unbounded until properties of probabilistic systems
We have developed a new approximate probabilistic model-checking method for untimed
properties in probabilistic systems, expressed in a probabilistic temporal logic (PCTL, CSL) …
properties in probabilistic systems, expressed in a probabilistic temporal logic (PCTL, CSL) …
Probabilistic verification of partially observable dynamical systems
BM Gyori, D Paulin, SK Palaniappan - arXiv preprint arXiv:1411.0976, 2014 - arxiv.org
The construction and formal verification of dynamical models is important in engineering,
biology and other disciplines. We focus on non-linear models containing a set of parameters …
biology and other disciplines. We focus on non-linear models containing a set of parameters …
FACT: A probabilistic model checker for formal verification with confidence intervals
We introduce FACT, a probabilistic model checker that computes confidence intervals for the
evaluated properties of Markov chains with unknown transition probabilities when …
evaluated properties of Markov chains with unknown transition probabilities when …