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Morten Hjorth-Jensen
2024-09-10 12:06:15 +02:00
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commit 4e5c11dfa3
143 changed files with 2073 additions and 6207 deletions
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@@ -275,7 +275,34 @@ const thebe_selector_output = ".output, .cell_output"
</li>
<li class="toctree-l1">
<a class="reference internal" href="week36.html">
Week 36: Linear Rgeression and Statistical interpretations
Week 36: Linear Regression and Statistical interpretations
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="exercisesweek37.html">
Exercises week 37
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week37.html">
Week 37: Statistical interpretations and Resampling Methods
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="exercisesweek38.html">
Exercises week 38
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
Projects
</span>
</p>
<ul class="nav bd-sidenav">
<li class="toctree-l1">
<a class="reference internal" href="project1.html">
Project 1 on Machine Learning, deadline October 7 (midnight), 2024
</a>
</li>
</ul>
@@ -953,27 +980,37 @@ uncorrelated.</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2.66617168469673
[[ 1.31901056 1.37040343 4.92740215 0.39706027 2.78890834 5.48780047
5.56413916 3.99371466 6.81203214 3.34782766]
[ 1.37040343 1.42379872 5.11938949 0.41253101 2.89757312 5.70162272
5.7809358 4.14932255 7.07745069 3.47826973]
[ 4.92740215 5.11938949 18.40720059 1.48329035 10.41847076 20.50066971
20.78584667 14.91924234 25.44757627 12.50641483]
[ 0.39706027 0.41253101 1.48329035 0.11952661 0.83954195 1.65198643
1.67496658 1.20222345 2.05061841 1.00779281]
[ 2.78890834 2.89757312 10.41847076 0.83954195 5.89685175 11.60337375
11.76478383 8.4442873 14.40332158 7.07862755]
[ 5.48780047 5.70162272 20.50066971 1.65198643 11.60337375 22.83223115
23.14984157 16.61602252 28.34175429 13.92878175]
[ 5.56413916 5.7809358 20.78584667 1.67496658 11.76478383 23.14984157
23.47187014 16.84716164 28.73600557 14.1225397 ]
[ 3.99371466 4.14932255 14.91924234 1.20222345 8.4442873 16.61602252
16.84716164 12.09221309 20.62554572 10.13658936]
[ 6.81203214 7.07745069 25.44757627 2.05061841 14.40332158 28.34175429
28.73600557 20.62554572 35.18075088 17.28986131]
[ 3.34782766 3.47826973 12.50641483 1.00779281 7.07862755 13.92878175
14.1225397 10.13658936 17.28986131 8.49724059]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>3.1732863504708044
[[8.55460327e+00 4.59630232e+00 7.71507714e+00 3.56832496e-01
1.62620041e+01 3.84661230e+00 8.38865681e+00 1.18285689e+01
1.78876155e+01 4.77352152e+00]
[4.59630232e+00 2.46954702e+00 4.14523337e+00 1.91722512e-01
8.73741131e+00 2.06674611e+00 4.50714096e+00 6.35537114e+00
9.61083596e+00 2.56476512e+00]
[7.71507714e+00 4.14523337e+00 6.95793988e+00 3.21813899e-01
1.46660941e+01 3.46911594e+00 7.56541622e+00 1.06677444e+01
1.61321722e+01 4.30506075e+00]
[3.56832496e-01 1.91722512e-01 3.21813899e-01 1.48843174e-02
6.78326199e-01 1.60451189e-01 3.49910481e-01 4.93397254e-01
7.46134248e-01 1.99114739e-01]
[1.62620041e+01 8.73741131e+00 1.46660941e+01 6.78326199e-01
3.09135059e+01 7.31227657e+00 1.59465457e+01 2.24856992e+01
3.40037367e+01 9.07429886e+00]
[3.84661230e+00 2.06674611e+00 3.46911594e+00 1.60451189e-01
7.31227657e+00 1.72964493e+00 3.77199379e+00 5.31876431e+00
8.04323936e+00 2.14643345e+00]
[8.38865681e+00 4.50714096e+00 7.56541622e+00 3.49910481e-01
1.59465457e+01 3.77199379e+00 8.22592946e+00 1.15991124e+01
1.75406226e+01 4.68092237e+00]
[1.18285689e+01 6.35537114e+00 1.06677444e+01 4.93397254e-01
2.24856992e+01 5.31876431e+00 1.15991124e+01 1.63555267e+01
2.47334547e+01 6.60041459e+00]
[1.78876155e+01 9.61083596e+00 1.61321722e+01 7.46134248e-01
3.40037367e+01 8.04323936e+00 1.75406226e+01 2.47334547e+01
3.74028787e+01 9.98140006e+00]
[4.77352152e+00 2.56476512e+00 4.30506075e+00 1.99114739e-01
9.07429886e+00 2.14643345e+00 4.68092237e+00 6.60041459e+00
9.98140006e+00 2.66365453e+00]]
</pre></div>
</div>
</div>
@@ -1241,15 +1278,15 @@ more practically oriented methods like the blocking technique.</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.04944931918420588
3.9197998358799464
-0.7106484566285455
0.9059370566788297 9.700258285068488 9.7423220054006
2.7796611648499043 2.2456969087678473 7.0827744231113545
[[0.90593706 2.77966116 2.24569691]
[2.77966116 9.70025829 7.08277442]
[2.24569691 7.08277442 9.74232201]]
[17.56239321 0.09298511 2.69313903]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.03872795610436844
3.8505072899794293
0.03015288036252618
0.8896094720230128 9.323184775146844 7.56423957069263
2.7487814387207385 2.000626681519836 6.325228546249804
[[0.88960947 2.74878144 2.00062668]
[2.74878144 9.32318478 6.32522855]
[2.00062668 6.32522855 7.56423957]]
[15.60940356 0.06849372 2.09913654]
</pre></div>
</div>
</div>
@@ -1579,7 +1616,7 @@ assumption for approximating <span class="math notranslate nohighlight">\(\sigma
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.031696741936652305 0.9106590586410548
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.011156605304609659 0.9767506308987675
</pre></div>
</div>
<img alt="_images/statistics_188_1.png" src="_images/statistics_188_1.png" />