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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition

    Posted By: ksveta6
    Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition

    Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition by Jeff Gill
    2014 | ISBN: 1439862486 | English | 724 pages | PDF | 7 MB

    An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists

    Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.

    New to the Third Edition

    A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James–Stein estimation
    A chapter on the practical implementation of MCMC methods using the BUGS software
    Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm
    Many new applications from a variety of social science disciplines
    Double the number of exercises, with 20 now in each chapter
    Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R
    This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.