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diff --git a/2018/Contributed-Talks/05_damiano/LICENSE.md → 2018/Contributed-Talks/04_damiano/LICENSE.md b/2018/Contributed-Talks/05_damiano/LICENSE.md → 2018/Contributed-Talks/04_damiano/LICENSE.md
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diff --git a/...Talks/17_crespo/RmarkdownFaustoCrespo.Rmd → ...Talks/14_crespo/RmarkdownFaustoCrespo.Rmd b/...Talks/17_crespo/RmarkdownFaustoCrespo.Rmd → ...Talks/14_crespo/RmarkdownFaustoCrespo.Rmd
diff --git a/2018/Contributed-Talks/17_crespo/Slides.pdf → 2018/Contributed-Talks/14_crespo/Slides.pdf b/2018/Contributed-Talks/17_crespo/Slides.pdf → 2018/Contributed-Talks/14_crespo/Slides.pdf
diff --git a/2018/Contributed-Talks/17_crespo/sismos.csv → 2018/Contributed-Talks/14_crespo/sismos.csv b/2018/Contributed-Talks/17_crespo/sismos.csv → 2018/Contributed-Talks/14_crespo/sismos.csv
diff --git a/README.md b/README.md
@@ -137,7 +137,7 @@ We implement a standard Hidden Markov Model (HMM) and the Input-Output Hidden Ma
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/05_damiano) 
+  - [Notebook, code, slides](2018/Contributed-Talks/04_damiano) 
   - <a href="https://github.com/luisdamiano/stancon18"> github.com/luisdamiano/stancon18</a>
 
 
@@ -151,7 +151,7 @@ Ornstein-Uhlenbeck (OU) processes are a mean reverting process and is used to mo
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/06_goodman) 
+  - [Notebook, code, slides](2018/Contributed-Talks/05_goodman) 
   - [github.com/aaronjg/outype\_t\_process\_stan](https://github.com/aaronjg/outype_t_process_stan)
   - <a href="https://web.stanford.edu/~aaronjg/"> web.stanford.edu/~aaronjg</a>
 
@@ -166,7 +166,7 @@ We present SlicStan — a probabilistic programming language that compiles to St
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/07_gorinova) 
+  - [Notebook, code, slides](2018/Contributed-Talks/06_gorinova) 
   - [github.com/mgorinova/SlicStan-Paper](https://github.com/mgorinova/SlicStan-Paper)
   - <a href="http://homepages.inf.ed.ac.uk/s1207807/"> homepages.inf.ed.ac.uk/s1207807</a>, <a href="https://www.microsoft.com/en-us/research/people/adg/"> microsoft.com/en-us/research/people/adg</a>, <a href="http://homepages.inf.ed.ac.uk/csutton/"> http://homepages.inf.ed.ac.uk/csutton</a> 
 
@@ -181,7 +181,7 @@ Item-response theory (IRT) ideal-point scaling/dimension reduction methods that
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/08_kubinec) 
+  - [Notebook, code, slides](2018/Contributed-Talks/07_kubinec) 
   - [https://CRAN.R-project.org/package=idealstan](https://CRAN.R-project.org/package=idealstan)
 
 
@@ -195,7 +195,7 @@ Stan’s numerical algebraic solver can be used to solve systems of nonlinear al
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/10_margossian) 
+  - [Notebook, code, slides](2018/Contributed-Talks/08_margossian) 
   - [github.com/charlesm93](https://github.com/charlesm93)
 
 
@@ -209,7 +209,7 @@ This outlines a Bayesian approach to resonance ultrasound spectroscopy (RUS), a
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/11_bales) 
+  - [Notebook, code, slides](2018/Contributed-Talks/09_bales) 
   - [github.com/bbbales2/stancon_2018](https://github.com/bbbales2/stancon_2018)
 
 
@@ -223,7 +223,7 @@ This notebook illustrates how to fit aggregate random coefficient logit models i
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/13_savage) 
+  - [Notebook, code, slides](2018/Contributed-Talks/10_savage) 
   - [github.com/khakieconomics](https://github.com/khakieconomics), [github.com/shoshievass](https://github.com/shoshievass)
 
 
@@ -237,7 +237,7 @@ We develop a new statistical test to detect bias in decision making — the thre
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/14_simoiu) 
+  - [Notebook, code, slides](2018/Contributed-Talks/11_simoiu) 
   - [github.com/camioux/stancon2018](https://github.com/camioux/stancon2018) 
   - [web.stanford.edu/~csimoiu](http://web.stanford.edu/~csimoiu/), [samcorbettdavies.com](https://samcorbettdavies.com/), [cs.stanford.edu/~emmap1](https://cs.stanford.edu/~emmap1/), [5harad.com](https://5harad.com/)
 
@@ -252,23 +252,22 @@ A Bayesian paradigm for making drug approval decisions. Case study in the treatm
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/15_vamvourellis) 
+  - [Notebook, code, slides](2018/Contributed-Talks/12_vamvourellis) 
   - [github.com/bayesways/case\_studies\_R/tree/master/stancon18](https://github.com/bayesways/case_studies_R/tree/master/stancon18)
   - [personal.lse.ac.uk/vamourel/](http://personal.lse.ac.uk/vamourel/)
 
 
 <br>
 **_Causal inference with the g-formula in Stan_** 
 
-
 * Authors: Leah Comment (Harvard University)
 
 The potential outcomes framework often uses one or more parametric outcome models to learn about underlying causal processes. In Stan, parameter estimation using observed data takes place in the model block, while simulation-based estimation of causal parameters using the g-formula can be done separately with generated quantities. Bayesian estimation allows for data-driven sensitivity analysis regarding the assumption of no unmeasured confounding. This presentation shows some simple causal models, then outlines a basic sensitivity analysis using prior information derived from an external data source.
 
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/16_comment) 
+  - [Notebook, code, slides](2018/Contributed-Talks/13_comment) 
   - [https://github.com/lcomm/stancon2018](https://github.com/lcomm/stancon2018)
   - [scholar.harvard.edu/leahcomment](https://scholar.harvard.edu/leahcomment/)
 
@@ -282,7 +281,7 @@ Earthquake modeling with Stan. Applied to seismic recurrence in Ecuador in 2016.
 Links: 
 
   - Video (coming soon)
-  - [Notebook, code, slides](2018/Contributed-Talks/17_crespo) 
+  - [Notebook, code, slides](2018/Contributed-Talks/14_crespo) 
   - [linkedin.com/in/phd-student-fausto-fabian-crespo-fernandez](https://www.linkedin.com/in/phd-student-fausto-fabian-crespo-fernandez-2b457a71/)