This volume presents the latest advances and trends in stochastic models and related
statistical procedures. Selected peer-reviewed contributions focus on statistical inference
quality control change-point analysis and detection empirical processes time series analysis
survival analysis and reliability statistics for stochastic processes big data in technology
and the sciences statistical genetics experiment design and stochastic models in
engineering. Stochastic models and related statistical procedures play an important part in
furthering our understanding of the challenging problems currently arising in areas of
application such as the natural sciences information technology engineering image analysis
genetics energy and finance to name but a few. This collection arises from the 12th Workshop
on Stochastic Models Statistics and Their Applications Wroclaw Poland.
