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Study on Furnace Temperature Curve Based on Heat Conduction Model
Temperature control is very important to product quality in circuit board welding production of reflow furnace. In this paper, the mathematical model...
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Model Selection and Regularization
This chapter presents regularization and selection methods for linear and nonlinear (parametric)Parametric models. These are important Machine...
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Pollutant Dispersion Simulation by Means of a Stochastic Particle Model and a Dynamic Gaussian Plume Model
The pollutant dispersion models of this work fall into two classes: physical and statistical. We propose a large-scale physical particle dispersion...
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A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy
Forecasting the volume of emergency events is important for resource utilization in emergency medical services (EMS). This became more evident during...
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Bayesian uncertainty quantification of local volatility model
Local volatility is an important quantity in option pricing, portfolio hedging, and risk management. It is not directly observable from the market;...
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A model-based ultrametric composite indicator for studying waste management in Italian municipalities
A Composite Indicator (CI) is a useful tool to synthesize information on a multidimensional phenomenon and make policy decisions. Multidimensional...
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Non-proportional Substitution Patterns II: The Probit Model
In Chap. 7 , the topic of non-proportional substitution was discussed, and a method for deriving logit...
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Time Series Data Analysis with State Space Model
A challenge in time series data analysis is that it is an extrapolation problem: we are interested in predicting events that are only observable in...
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Efficient parameter estimation for parabolic SPDEs based on a log-linear model for realized volatilities
We construct estimators for the parameters of a parabolic SPDE with one spatial dimension based on discrete observations of a solution in time and...
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Stochastic Model of Conditional Non-stationary Time Series of the Wind Chill Index in West Siberia
In this paper, we propose a stochastic model of the conditional time series of the wind chill index. The model is based on the inverse distribution...
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A Robust Hurdle Poisson Model in the Estimation of the Extremal Index
In statistical extreme value theory, the occurrence of clusters of exceedances above a high threshold is related to the extremal index (EI), when...
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A new trivariate model for stochastic episodes
We study the joint distribution of stochastic events described by ( X , Y , N ), where N has a 1-inflated (or deflated) geometric distribution and X , Y are...
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A Multi-parameter Occupational Safety Risk Assessment Model for Chemicals in the University Laboratories by an MCDM Sorting Method
University laboratories are high-risk working environments where many chemicals coexist to conduct teaching and scientific research. The frequent...
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Heat Kernel Smoothing on Manifolds and Its Application to Hyoid Bone Growth Modeling
We present a unified heat kernel smoothing framework for modeling 3D anatomical surface data extracted from medical images. Due to image acquisition...
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Trends and Random Walks in Mortality Series
The notion that time series cannot be properly dealt with until their nature has been established is nowadays largely accepted among economists, less...
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Behavioral Insights from Choice Models
In Chap. 5 we covered some important practical aspects around the estimation of the multinomial logit model. Many of them transfer to other kinds of...
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Predicting species-level vegetation cover using large satellite imagery data sets
Accurate information on the distribution of vegetation species is used as a proxy for the health of an ecosystem, a currency of international...
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Pointwise density estimation on metric spaces and applications in seismology
We are studying the problem of estimating density in a wide range of metric spaces, including the Euclidean space, the sphere, the ball, and various...
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Environmental Projects
This chapter discusses two environmental projects, one concerned with understanding the effects of atmospheric warming on plants, and one concerned...
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A Partition Dirichlet Process Model for Functional Data Analysis
Recently, extensions of the Dirichlet process to the functional domain have been presented in the literature. These processes can be classified based...
