… Our aim is to make the reader familiar, through examples … if you have a more precise
instrument). There are some values that … introduced two crucial aspects of the Bayesian approach: …

… in development and implementation of industrial inferential … focused on the techniques that
have their origin in Bayesian Statistics. … are investigated in order to extract hidden patterns (eg …

… for the extraction of information from physics experiments even … II the basics of Bayesian
inference are introduced and Bayes’ … experimental diagnostics as passive recording devices is …

… process knowledge should be incorporated, thus making the … combined by the Bayesian
inference. Another contribution of … extraction are introduced, which is followed by the proposed …

… and identification of process and instrument faults are necessary to … , process historian
databases are commonly implemented in … monitoring (MSPM), utilize the historical data to extract …

… of sequential Bayesian estimation to sequential decision-making. … actual implementation
providing the algorithm evolves from … capable of extracting the desired information from noisy, …

… the need to extract as comprehensive information as possible from a given … joint uncertainties
introduced by measuring the apparatus … We make a very simple comment concerning these …

… made with implementation of the Bayesian approach in … the information extracted from
streamlined dynamic models with … , we use prior densities as essential devices for interpreting …

… extraction and Bayesian cosmological model building are … practical implementation in the
form of the Bayesian evidence, … coming from the finite precision of the measurement apparatus …

… the identification problems via Bayesian statistics. In … the concepts we have already defined,
but must be introduced … is: (i) How can the statistician extract the information about the …