Joseph Souza: 5 books

Book cover of The Neighbor
by Joseph Souza
Language: English
Release Date: May 1, 2018

In a taut psychological thriller filled with breathtaking twists, Joseph Souza explores the tangle of betrayal and deception between two neighboring couples, and asks how well we can really know others—or ourselves. * * It all seems so promising at the start . . .   When Leah and her husband,...
Book cover of Darpocalypse
by Joseph Souza
Language: English
Release Date: March 5, 2013

The second wave of the plague has struck with a brutal vengeance and a full-on zombie apocalypse has spread throughout every corner of the world. Abandoned by her father, Dar has managed to set up a camp in the Boston Common. Surrounded by hordes of ravenous zombies, one person living inside...
Book cover of Darmageddon
by Joseph Souza
Language: English
Release Date: February 20, 2014

Dar and her band of survivors must flee for their lives after a terrorist blows up the fence protecting their Boston camp. Departing in two eighteen wheelers, the group heads to Washington State to find Dar’s family. A caravan of army troops, led by egomaniacal General Townsend, arrive in Boston...
Book cover of The Reawakening
by Joseph Souza
Language: English
Release Date: October 5, 2012

A series of terrible things begin to happen when a scientist with a dark past resumes his genetic experiments in a small Maine town. The entire town soon becomes filled with the human flesh-eaters, threatening a farmhouse and the survivors within it. As the world outside them descends into total madness, a surprising leader emerges from the group who will hopefully lead them to safety. 
Book cover of Bayesian Models for Astrophysical Data

Bayesian Models for Astrophysical Data

Using R, JAGS, Python, and Stan

by Joseph M. Hilbe, Rafael S. de Souza, Emille E. O. Ishida
Language: English
Release Date: April 27, 2017

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian...
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