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Bayesian inference for continuous-time hidden Markov models with an unknown number of states
We consider the modeling of data generated by a latent continuous-time Markov jump process with a state space of finite but unknown dimensions....
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Cybermanufacturing and Digital Twins
Cybermanufacturing is a name given to smart manufacturing systems which are part of the fourth industrial revolution. These systems combine sensor...
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Confidence sub-contour box: an alternative to traditional confidence intervals
Parameter and initial conditions (factors) estimation is a challenging task in non-linear models. Even if researchers successfully estimate those...
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A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico
The main goal in this study was to determine confidence intervals for average age, average seniority, and average money-savings, for faculty members...
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Implementing Civic Statistics in Business Education: Technology in Small and Large Classrooms
Introducing Civic Statistics is of high importance in business educationBusiness education as its multidisciplinary nature helps students to develop...
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Real-World Applications of Data Analytics, Big Data, and Machine Learning
In the era of digitalization, we stand on the cusp of a data revolution. A staggering volume of data, sourced from manufacturing, banking, social...
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On the performance of particle filters with adaptive number of particles
We investigate the performance of a class of particle filters (PFs) that can automatically tune their computational complexity by evaluating online...
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Capturing stance dynamics in social media: open challenges and research directions
Social media platforms provide a goldmine for mining public opinion on issues of wide societal interest and impact. Opinion mining is a problem that...
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On the role of data, statistics and decisions in a pandemic
A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and...
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Optimal Double Stop** Problems for Maxima and Minima of Geometric Brownian Motions
We present closed-form solutions to some double optimal stop** problems with payoffs representing linear functions of the running maxima and minima...
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Evaluation
In the previous sections, the theoretical methods and their properties that contributed to this dissertation have been described. In this chapter,...
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Integrated Population Models: Achieving Their Potential
Precise and accurate estimates of abundance and demographic rates are primary quantities of interest within wildlife conservation and management....
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A Dynamic Individual-Based Model for High-Resolution Ant Interactions
Ant feeding interactions (i.e., trophallaxis events) are thought to regulate the flow of nutrients and disease within a colony. Consequently, there...
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Modelling Performance and Fairness of Frame Bursting in IEEE 802.11n Using PEPA
IEEE 802.11n is a relatively inexpensive high throughput WLAN standard, which has been used in many wireless devices. The achievable capacity...
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Personalized Medicine with Advanced Analytics
Practice of modern medicine demands personalized medicine (PM) to improve both quality of care and efficiency of the healthcare system. This is...
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Identification of canonical models for vectors of time series: a subspace approach
We propose a new method to specify linear models for vectors of time series with some convenient properties. First, it provides a unified modeling...
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Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines
An open research question in deep reinforcement learning is how to focus the policy learning of key decisions within a sparse domain. This paper...
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Which C compiler and BLAS/LAPACK library should I use:
gretl ’s numerical efficiency in different configurationsgretl can be compiled with different C compilers and linked against different BLAS/LAPACK libraries. Some of them are free (as in speech), and some...
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Civic Statistics in Context: Map** the Global Evidence Ecosystem
Human knowledge is not a coherent body of carefully structured knowledge, created by an expert group, and made accessible to others. Rather, it...
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Prison Cloud and Big Data Application—Criminal Situation and Recidivism Risk Early Warning System
At present, the monitoring and evaluation of the risk of prison criminals is mainly through artificial means, using the subjective questionnaire...