After two years of writing for The RPGuide, we’ve talked a lot about running and playing role-playing games. So this is a collection of our best and favorite articles from the second year of RPGuide posts. This volume of Loaded Dice has sections on Storytelling, plotting and pacing your game – including romantic arcs – more about non-player characters (NPCs), juggling game rules and mechanics, and advice for players to create characters and then play them in a team sport like RPGs. Whether you’re new to role-playing games or have been gaming for years, come learn from our mistakes and take advantage of our experience. We recommend reading at least the first Loaded Dice, but also consider My Guide to RPG Story­telling, My Storytelling Guide Companion, or From Dream to Dice.

The author describes his experience as a member of a crew of crossroaders who cheated the Las Vegas casinos out of millions of dollars during the sixties

After three years of writing for The RPGuide, we’ve talked a lot about running and playing role-playing games. Thank you for listening for all these years! This is a collection of our best and favorite articles from all three years of RPGuide posts. It includes three volumes of Loaded Dice, each one covering a year of our ramblings. There are sections on Storytelling, plotting and pacing your game, non-player characters (NPCs), game rules and mechanics, and advice for players to create characters and then play them in a team sport like RPGs. Whether you’re new to role-playing games or have been gaming for years, come learn from our mistakes and take advantage of our experience. Most of the posts included in this boxed set build on the ideas that we set out in our first guidebooks: My Guide to RPG Storytelling, My Storytelling Guide Companion, and From Dream to Dice. You don’t need to read them, but it might help.

Valentine is in Las Vegas, on the trail of his wayward son, Gerry, who has gone AWOL from card-counting school. Mixing work with parental responsibility, Tony also agrees to help maverick casino owner Nick Nicocropolis prevent two rival owners from putting him out of business.

I’ve been running role-playing games for thirty years, but am relatively new to playing them. Erica’s rolled up dozens of characters, but has only a few Storytelling experiences under her belt. Together, we’ve written a blog about what we learned, the challenges we have to overcome, and all the solutions we’ve come up with to keep an RPG campaign going – The RPGuide. This is a collection of our best and favorite articles from the first year and a half year of RPGuide posts. We’ve got advice for handling players, building NPCs, and we debate rules and play styles. If you’re an old hand at role-playing, maybe you’ll find a new trick to put up your sleeve, or a fresh way of looking at gaming. And if you’re new to RPGs, then you’re welcome to learn from our mistakes and take advantage of our experience. You’ve probably read My Guide to RPG Story­telling, the Companion, or maybe From Dream to Dice, and that’s what brought you around to this little collection. But if this is your first RPGuidebook, welcome! Don’t worry, you don’t need to read any of the others first – Loaded Dice can be used on its own. We’ll even begin with a “What the heck is a table-top role-playing game?” chapter. So let’s play!

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State University. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy V conference will bring astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses are all important themes to be covered in detail. Many problems will be introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.