Visualization of an MCMC simulation. You have to
+
If this process is continued long enough, the distribution of the
blue dots approaches the posterior probability distribution of the
@@ -2993,10 +2997,11 @@
The easier interpretability of Bayesian analyses is best illustrated
by the following figure:
-
-
Source: Korner-Nievergelt und Hüppop (2016). Five
-possible results of estimating an effect, such as the difference in
+
+
+
Source: Korner-Nievergelt und Hüppop (2016).
+Five possible results of estimating an effect, such as the difference in
yield with different fertilization. The dots indicate the estimated
differences, the vertical bars indicate the 95% uncertainty intervals
(confidence interval or credible interval). The results of the
@@ -3004,7 +3009,7 @@
Frequentist versus Bayesian
second row shows the posterior probability for the hypothesis that the
effect is “economically relevant”. The background color distinguishes
“economically relevant” (orange) from “economically not relevant” (light
-blue) effect sizes schematically.
+blue) effect sizes schematically.
An uncritical frequentist approach would result in: “The effect in
group/treatment A and E is significant, so we will use the tested
@@ -3367,7 +3372,7 @@
Lecture 10: Profile of a Decision Analyst
Whitney or the course tutor.
Those who work in Decision Analysis must be able to do a number of
diverse jobs from the facilitation and integration of ideas into models
-and also in programming these models. In teh following short lecture you
+and also in programming these models. In the following short lecture you
will learn about the skills that are particularly important for
integration of knowledge, facilitation of knowledge
gathering processes and for programming decision models. Please
@@ -4008,22 +4013,22 @@
References
@@ -4108,21 +4113,21 @@
References
@@ -4142,15 +4147,15 @@
References
@@ -4171,17 +4176,17 @@
References
@@ -4233,21 +4238,21 @@
References
@@ -4298,20 +4303,20 @@
References
@@ -4330,27 +4335,27 @@
References
@@ -4372,27 +4377,27 @@
References
@@ -4413,31 +4418,31 @@
References
@@ -4459,21 +4464,21 @@
References
@@ -4527,21 +4532,21 @@
References
@@ -4597,22 +4602,22 @@
References
@@ -4668,17 +4673,17 @@
References
@@ -4724,22 +4729,22 @@
References
@@ -4790,14 +4795,14 @@
References
@@ -6296,24 +6301,24 @@
References
@@ -6335,26 +6340,26 @@
References
@@ -6420,17 +6425,17 @@
References
@@ -6612,21 +6617,21 @@
References
@@ -6647,17 +6652,17 @@
References
@@ -6707,16 +6712,16 @@
References
@@ -6762,16 +6767,16 @@
References
@@ -8940,16 +8945,16 @@
References
@@ -8999,22 +9004,22 @@
References
@@ -9075,22 +9080,22 @@
References
@@ -10258,44 +10263,44 @@
References
@@ -10316,50 +10321,50 @@
References
@@ -11396,12 +11401,12 @@
References
@@ -11468,7 +11473,7 @@
References
Second Edition. Hoboken, New Jersey: John Wiley & Sons.
-Iannone, Richard. 2022.
DiagrammeR: Graph/Network
+Iannone, Richard. 2023. DiagrammeR: Graph/Network
Visualization. https://github.com/rich-iannone/DiagrammeR.
diff --git a/Lecture_10_Analyst_Profile.Rmd b/Lecture_10_Analyst_Profile.Rmd
index d46f4df..c8cf487 100644
--- a/Lecture_10_Analyst_Profile.Rmd
+++ b/Lecture_10_Analyst_Profile.Rmd
@@ -5,7 +5,7 @@
Welcome to lecture 10 of **Decision Analysis and Forecasting for Agricultural Development**. Feel free to bring up any questions or concerns in the Slack or to [Dr. Cory Whitney](mailto:cory.whitney@uni-bonn.de?subject=[Lecture_6]%20Decision%20Analysis%20Lecture) or the course tutor.
-Those who work in Decision Analysis must be able to do a number of diverse jobs from the facilitation and integration of ideas into models and also in programming these models. In teh following short lecture you will learn about the skills that are particularly important for *integration* of knowledge, *facilitation* of knowledge gathering processes and for *programming* decision models. Please watch the video and answer the multiple choice questions below.
+Those who work in Decision Analysis must be able to do a number of diverse jobs from the facilitation and integration of ideas into models and also in programming these models. In the following short lecture you will learn about the skills that are particularly important for *integration* of knowledge, *facilitation* of knowledge gathering processes and for *programming* decision models. Please watch the video and answer the multiple choice questions below.
diff --git a/bib/packages.bib b/bib/packages.bib
index 277bec1..b3aec7e 100644
--- a/bib/packages.bib
+++ b/bib/packages.bib
@@ -26,8 +26,8 @@ @Manual{R-decisionSupport
@Manual{R-DiagrammeR,
title = {DiagrammeR: Graph/Network Visualization},
author = {Richard Iannone},
- year = {2022},
- note = {R package version 1.0.9},
+ year = {2023},
+ note = {R package version 1.0.10},
url = {https://github.com/rich-iannone/DiagrammeR},
}
@@ -92,7 +92,7 @@ @Manual{R-igraph
title = {igraph: Network Analysis and Visualization},
author = {Gábor Csárdi and Tamás Nepusz and Vincent Traag and Szabolcs Horvát and Fabio Zanini and Daniel Noom and Kirill Müller},
year = {2023},
- note = {R package version 1.4.2},
+ note = {R package version 1.4.3},
url = {https://CRAN.R-project.org/package=igraph},
}
@@ -100,7 +100,7 @@ @Manual{R-knitr
title = {knitr: A General-Purpose Package for Dynamic Report Generation in R},
author = {Yihui Xie},
year = {2023},
- note = {R package version 1.42},
+ note = {R package version 1.43},
url = {https://yihui.org/knitr/},
}
@@ -156,7 +156,7 @@ @Manual{R-rmarkdown
title = {rmarkdown: Dynamic Documents for R},
author = {JJ Allaire and Yihui Xie and Christophe Dervieux and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang and Richard Iannone},
year = {2023},
- note = {R package version 2.21},
+ note = {R package version 2.22},
url = {https://CRAN.R-project.org/package=rmarkdown},
}
-
-
-
-