Merge branch 'master' of version.helsinki.fi:rikulain/bachelors-thesis

paper/biblio.bib

@@ -251,6 +251,18 @@ OPTseries = {AIES}
   bibsource = {dblp computer science bibliography, https://dblp.org}
 }
 
+@article{royal,
+  author    = {Jongbin Jung and  Connor Concannon and Ravi Shroff and Sharad Goel anf Daniel G. Goldstein.},
+  title     = {Simple rules to guide expert classifications},
+  journal   = {Journal of the Royal Statistical Society: Series A. (in press)},
+  OPTvolume    = {14},
+  OPTnumber    = {1},
+  OPTpages     = {3207--3260},
+  year      = {2020},
+}
+
+%Jung, Jongbin, Connor Concannon, Ravi Shroff, Sharad Goel, Daniel G. Goldstein. (in press). Simple rules to guide expert classifications. 
+
 
 @inproceedings{DBLP:conf/icml/NabiMS19,
   author    = {Razieh Nabi and

paper/experiments.tex

@@ -366,7 +366,9 @@ Thus overall, in these synthetic settings our method achieves more accurate resu
 
 \subsection{COMPAS data}
 
-COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) is equivant's (formerly Northpointe\footnote{\url{https://www.equivant.com}}) set of tools for assisting decision-making in the criminal justice system. 
+COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) is equivant's (formerly Northpointe)
+%\footnote{\url{https://www.equivant.com}}
+ set of tools for assisting decision-making in the criminal justice system. 
 %
 COMPAS provides needs assesments and risk estimates of recidivism. 
 %

paper/imputation.tex

@@ -209,7 +209,9 @@ The result of Equation~\ref{eq:theposterior}  can be computed numerically:
 \end{equation}
 where the sums are taken over $N$ samples of $\parameters$ and $\unobservable$ obtained from their respective posteriors.
 %
-In practice, we use the MCMC functionality of Stan\footnote{\url{https://mc-stan.org/}} to obtain these samples.
+In practice, we use the MCMC functionality of Stan
+%\footnote{\url{https://mc-stan.org/}}
+ to obtain these samples.
 
 
 \subsection{Evaluating Decision Makers}

paper/related.tex

@@ -44,7 +44,7 @@ Several works study selection bias or missing data in the context of identifiabi
 %Also identifiability questions in the presence of selection bias or missing data mechanisms require detailed causal modeling~\cite{bareinboim2012controlling,hernan2004structural,little2019statistical}.
 
 %To properly assess decision procedures for their performance and fairness we need to understand the causal relations 
-Finally, more applied work on automated decision making and risk scoring, related in particular to recidivism, can be found for example in~\cite{murder,tolan2019why,kleinberg2018human,chouldechova2017fair,brennan2009evaluating}.
+Finally, more applied work on automated decision making and risk scoring, related in particular to recidivism, can be found for example in~\cite{murder,tolan2019why,kleinberg2018human,chouldechova2017fair,brennan2009evaluating,royal}.
 
 %\citet{} do what?
 

paper/sl.tex

@@ -157,7 +157,7 @@ robust to different variations in the decision mechanisms in the data.
 \bibliography{biblio}
 %\balancecolumns % GM June 2007
 
-\clearpage
+%\clearpage
 
 \input{appendix}