[dinosaur] Course: Intro to Bayesian inference, Apr 20-24. Scholarships available

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=0A=20=20=20=20=20=20=20=20=0A         Dear colleagues,=20=20=20=20=20=20=
=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A         Registration is open =
for Transmitting Science course =E2=80=9CIntroduction to Bayesian Inference=
 in Practice- 3         rd edition=E2=80=9D, April 20th-24th, 2020, Barcelo=
na (Spain).=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=
         There are scholarships (free attendance) available for PhD student=
s and Postdocs:         https://urldefense.proofpoint.com/v2/url?u=3Dhttps-=
3A__www.transmittingscience.org_funding_scholarships-2Dapplication_&d=3DDwI=
FaQ&c=3DclK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=3DRy_mO4IFaUmGof_Yl9M=
yZgecRCKHn5g4z1CYJgFW9SI&m=3DDbn2k9Um3MzGQxs8oRspXVkTuCilBD1tz_aV6LJOcqg&s=
=3DJp9Llp-KAGIPraIOEuIdDVG629gRXyqT8sF0GhnZRsU&e=3D=20=20=20=20=20=20=20=20=
=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A   =
      Course webpage: https://urldefense.proofpoint.com/v2/url?u=3Dhttps-3A=
__www.transmittingscience.org_courses_statistics-2Dand-2Dbioinformatics_int=
roduction-2Dbayesian-2Dinference-2Dpractice_&d=3DDwIFaQ&c=3DclK7kQUTWtAVEOV=
Igvi0NU5BOUHhpN0H8p7CSfnc_gI&r=3DRy_mO4IFaUmGof_Yl9MyZgecRCKHn5g4z1CYJgFW9S=
I&m=3DDbn2k9Um3MzGQxs8oRspXVkTuCilBD1tz_aV6LJOcqg&s=3DRGHMPMlFpZqNlrxw55T_U=
XdfuJs3OZbKyaI_h-sgTWM&e=3D=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=
=20=20=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=0A         Instructors:=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=
=20=20=20=20=20=20=20=20=0A         Dr. Daniele Silvestro (University of Go=
thenburg, Sweden) and Tobias Hofmann (University of Gothenburg, Sweden)=20=
=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=
=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A         Course=
 overview=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A   =
      Bayesian methods have become standard practice in several fields, (e.=
g. phylogenetic inference, evolutionary (paleo)biology, genomics), yet unde=
rstanding how this Bayesian machinery works is not always trivial.=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=20=0A=
=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A         The instruct=
or will outline the relevant concepts and basic theory, but the focus of th=
e course will be to learn how to do Bayesian inference in practice. He will=
 show how to implement the most common algorithms to estimate parameters ba=
sed on posterior probabilities, such  as Markov Chain Monte Carlo samplers,=
 and how to build hierarchical models.=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=
=20=20=20=20=20=20=20=20=0A         The course will take a learn-by-doing a=
pproach, in which participants will implement their own MCMCs using R or Py=
thon (templates  for both languages will be provided).=20=20=20=20=20=20=20=
=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=
=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A         After completion of the =
course the participants will have gained a better understanding of how the =
main Bayesian methods implemented in many programs used in biological resea=
rch work. Participants will also learn how to model at least basic problems=
 using Bayesian statistics and how to implement the necessary algorithms to=
 solve them.=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=
         Participants are encouraged to think of potential applications of =
Bayesian inference in their research, which we will discuss and try to impl=
ement during the course.=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=
=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=
=20=20=20=0A         With best regards=20=20=20=20=20=20=20=20=0A=20=20=20=
=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=20=0A=20=20=20=20=20=20=20=20=0A=
=20=20=20=20=20=20=20=20=0A         Sole=20=20=20=20=20=20=20=20=0A=20=20=
=20=20=20=20=20=0A=0ASoledad De Esteban-Trivigno=0AInstitut Catal=C3=A0 de =
Paleontologia=C2=A0Miquel Crusafont=C2=A0(ICP)=0A=0ACampus de la Universita=
t Aut=C3=B2noma de Barcelona=0A=0ACerdanyola del Vall=C3=A8s (Barcelona). S=
pain=0A=0Awww.icp.cat=0A=C2=A0=C2=A0=0A=C2=A0=0A=0A=

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<head><title></title></head>=0A<body><div class=3D"iw_mail" dir=3D"ltr">=0A=
<div>=0A<div>Dear colleagues,</div>=0A<div><br></div>=0A<div>Registration i=
s open for Transmitting Science course "Introduction to Bayesian Inference =
in Practice- 3 <sup style=3D"line-height: 0;">rd</sup> edition", April 20th=
-24th, 2020, Barcelona (Spain).</div>=0A<div><br></div>=0A<div>There are sc=
holarships (free attendance) available for PhD students and Postdocs: <a hr=
ef=3D"https://urldefense.proofpoint.com/v2/url?u=3Dhttps-3A__www.transmitti=
ngscience.org_funding_scholarships-2Dapplication_&amp;d=3DDwMFaQ&amp;c=3Dcl=
K7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&amp;r=3DRy_mO4IFaUmGof_Yl9MyZgecR=
CKHn5g4z1CYJgFW9SI&amp;m=3DDbn2k9Um3MzGQxs8oRspXVkTuCilBD1tz_aV6LJOcqg&amp;=
s=3DJp9Llp-KAGIPraIOEuIdDVG629gRXyqT8sF0GhnZRsU&amp;e=3D" target=3D"_blank"=
 rel=3D"noopener">https://www.transmittingscience.org/funding/scholarships-=
application/</a><br>=0A</div>=0A<div><br></div>=0A<div>Course webpage: <a h=
ref=3D"https://urldefense.proofpoint.com/v2/url?u=3Dhttps-3A__www.transmitt=
ingscience.org_courses_statistics-2Dand-2Dbioinformatics_introduction-2Dbay=
esian-2Dinference-2Dpractice_&amp;d=3DDwMFaQ&amp;c=3DclK7kQUTWtAVEOVIgvi0NU=
5BOUHhpN0H8p7CSfnc_gI&amp;r=3DRy_mO4IFaUmGof_Yl9MyZgecRCKHn5g4z1CYJgFW9SI&a=
mp;m=3DDbn2k9Um3MzGQxs8oRspXVkTuCilBD1tz_aV6LJOcqg&amp;s=3DRGHMPMlFpZqNlrxw=
55T_UXdfuJs3OZbKyaI_h-sgTWM&amp;e=3D" target=3D"_blank" rel=3D"noopener">ht=
tps://www.transmittingscience.org/courses/statistics-and-bioinformatics/int=
roduction-bayesian-inference-practice/</a>=0A</div>=0A<div><br></div>=0A<di=
v>Instructors:</div>=0A<div><br></div>=0A<div>Dr. Daniele Silvestro (Univer=
sity of Gothenburg, Sweden) and Tobias Hofmann (University of Gothenburg, S=
weden)</div>=0A<div><br></div>=0A<div>Course overview</div>=0A<div><br></di=
v>=0A<div>Bayesian methods have become standard practice in several fields,=
 (e.g. phylogenetic inference, evolutionary (paleo)biology, genomics), yet =
understanding how this Bayesian machinery works is not always trivial.</div=
>=0A<div><br></div>=0A<div>The instructor will outline the relevant concept=
s and basic theory, but the focus of the course will be to learn how to do =
Bayesian inference in practice. He will show how to implement the most comm=
on algorithms to estimate parameters based on posterior probabilities, such=
 as Markov Chain Monte Carlo samplers, and how to build hierarchical models=
.</div>=0A<div><br></div>=0A<div>The course will take a learn-by-doing appr=
oach, in which participants will implement their own MCMCs using R or Pytho=
n (templates for both languages will be provided).</div>=0A<div><br></div>=
=0A<div>After completion of the course the participants will have gained a =
better understanding of how the main Bayesian methods implemented in many p=
rograms used in biological research work. Participants will also learn how =
to model at least basic problems using Bayesian statistics and how to imple=
ment the necessary algorithms to solve them.</div>=0A<div><br></div>=0A<div=
>Participants are encouraged to think of potential applications of Bayesian=
 inference in their research, which we will discuss and try to implement du=
ring the course.</div>=0A<div><br></div>=0A<div>With best regards</div>=0A<=
div><br></div>=0A<div>Sole</div>=0A</div>=0A<br><br><div class=3D"signature=
">=0A<font face=3D"Arial, Helvetica">Soledad De Esteban-Trivigno</font><div=
>=0A<div><span style=3D"font-size: 10pt;"><font face=3D"Arial, Helvetica">I=
nstitut Catal&agrave; de Paleontologia&nbsp;Miquel Crusafont&nbsp;(ICP)</fo=
nt></span></div>=0A<div>=0A<p class=3D"MsoNormal" style=3D"font-size: 11pt;=
 padding: 0px;"><span trebuchet=3D"" style=3D"font-size: 10pt;" lang=3D"ES-=
TRAD"><font face=3D"Arial, Helvetica">Campus de la Universitat Aut&ograve;n=
oma de Barcelona</font></span></p>=0A<p class=3D"MsoNormal" style=3D"font-s=
ize: 11pt; padding: 0px;"><span trebuchet=3D"" style=3D"font-size: 10pt;" l=
ang=3D"ES-TRAD"><font face=3D"Arial, Helvetica">Cerdanyola del Vall&egrave;=
s (Barcelona). Spain</font></span></p>=0A<p class=3D"MsoNormal" style=3D"fo=
nt-size: 11pt; padding: 0px;"><span style=3D"font-size: 10pt;"><font face=
=3D"Arial, Helvetica"><a href=3D"https://urldefense.proofpoint.com/v2/url?u=
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pN0H8p7CSfnc_gI&amp;r=3DRy_mO4IFaUmGof_Yl9MyZgecRCKHn5g4z1CYJgFW9SI&amp;m=
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5VN8xNwL5-QDdJ5JrsTYFLY&amp;e=3D">www.icp.cat</a></font></span></p>=0A<font=
 face=3D"Arial, Helvetica">&nbsp;</font>&nbsp;</div>&nbsp;</div>=0A</div>=
=0A</div></body>=0A=0A=

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