Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
動的トリートメント・レジームを推定するDynTxRegimeパッケージ
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
saltcooky
June 21, 2025
Science
320
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
動的トリートメント・レジームを推定するDynTxRegimeパッケージ
Tokyo.R #118 LT
saltcooky
June 21, 2025
More Decks by saltcooky
See All by saltcooky
SpatialRDDパッケージによる空間回帰不連続デザイン
saltcooky12
0
350
FIBA W杯の日本代表って組み合わせ次第で2次ラウンド行けたんじゃね?をデータで検証
saltcooky12
0
360
Rで有名絵画を安全に買いたい
saltcooky12
0
440
階層クラスタリングにおける仮説検定
saltcooky12
0
1.2k
データドリブンな仮説検証のためのSelective Inference
saltcooky12
1
1.5k
ストリートスナップデータに 統計的ネットワーク分析の適用を試みた
saltcooky12
0
910
Other Decks in Science
See All in Science
20260722【JAWS-UG東京 ランチタイムLT会 #37④】AWS Well-Architectedフレームワークに沿った回答をするAIエージェントを作ってみた
nozakijcom
1
170
生成AI時代のインタラクションサイエンス(招待講演)/interaction-science
okana2ki
0
120
How a camera trap data standard enabled an ecosystem of interoperable tools
peterdesmet
0
160
自社のレビュー履歴からAIコードレビュアーをつくる方法
estie
5
1.9k
AI(人工知能)の過去・現在・未来 ~AIは人類を越えるのか~
tagtag
PRO
0
190
Cross-Media Technologies, Information Science and Human-Information Interaction
signer
PRO
3
33k
[第67回 CV勉強会@関東] CV × Scientific Figures / kantoCV 67th CVPR 2026
lychee1223
0
270
MarineGym 水中シミュレータ
takeofuture
0
110
データベース11: 正規化(1/2) - 望ましくない関係スキーマ
trycycle
PRO
0
1.8k
Collective Predictive Coding Hypothesis: Emergence of Language and Cooperative Behaviors
tanichu
0
230
O(log n)-Approximation Algorithms for Bipartiteness Ratio
tasusu
0
310
20261012_hcmpl2026
takusamar
0
200
Featured
See All Featured
brightonSEO & MeasureFest 2025 - Winning Strategies for Black Friday CRO & PPC - Christian Goodrich
cargoodrich
3
890
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9.3k
The Pragmatic Product Professional
lauravandoore
37
7.5k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
50
10k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
480
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
23k
Scaling GitHub
holman
464
140k
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
290
Darren the Foodie - Storyboard
khoart
PRO
4
4.1k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
650
Agile that works and the tools we love
rasmusluckow
331
22k
It's Worth the Effort
3n
188
29k
Transcript
ಈతτϦʔτϝϯτɾϨδʔϜΛਪఆ͢Δ %ZO5Y3FHJNFύοέʔδ !TBMUDPPLZ 5PLZP3 1
୭ !TBMUDPPLZ • 3ྺɿ͙Β͍͔ͳ • ۈઌɿຊʹ͋Δ*5ܥͷձࣾ • ࣄ༰ɿϚʔέσΟϯά෦ॺͰ ɹɹɹεϓϨοτγʔτ͞Μ ɹɹɹϚʔέοτϦαʔν͞Μ
• झຯɿϑΝογϣϯඒज़ؗ८Γ 2
༰ΛҰݴͰ গ͠લʹษڧͨ͠ಈతτϦʔτϝϯτɾϨδʔϜͱ ਪఆύοέʔδΛհ 3
ࢪࡦͷޮՌݕূͰؾʹͳΔ͜ͱ ҰൠతͳҼՌਪख๏Λ༻͍ͨࢪࡦͷॲஔޮՌͷਪఆͰɺ௨ৗ ňճͷॲஔʼnͷΈ͕ରͰ͋Γɺաڈকདྷͷࢪࡦͱͷ࿈ಈੑߟྀ͞Εͳ͍ 4 ɹ (PPEࢪࡦ #BEࢪࡦ ࢪࡦ
ࢪࡦͷޮՌݕূͰؾʹͳΔ͜ͱ ෳεςοϓʹΘͨΔࢪࡦͷதͰɺ૯߹తʹߴ͍ޮՌΛͨΒ͢ॲஔύλʔ ϯΛѲ͢Δ͜ͱ͕ॏཁͱͳΔ߹͕͋Δ 5 ɹ
࣌߹ܭ ߹ܭͰ#BEࢪࡦύλʔϯ ࣌߹ܭ ߹ܭͰ(PPEࢪࡦύλʔϯ
ಈతτϦʔτϝϯτɾϨδʔϜ%53 ಈతτϦʔτϝϯτɾϨδʔϜʢ%ZOBNJD5SFBUNFOU3FHJNF%53ʣ ݸਓͷଐੑ͜Ε·ͰͷࢪࡦཤྺɺকདྷͷߦಈมԽͳͲΛߟྀͨ࣌͠ܥྻత ͳࢪࡦͷద༻ॱং ॲஔํࡦ 6
ɹɹɹ ɹɹɹ ɹɹɹ ࠷దͳ%53 ߹ܭ
࠷దͳ%53ͷਪఆʹɺ૯ॲஔޮՌͷظ ްੜج४ Λ࠷େԽΛࢦ͠ɺ εςοϓʹ͓͚ΔࢪࡦɹΛબࡍʹɺͦͷࢪࡦΛબͨ͠߹ͷকདྷͷॲ ஔޮՌߟྀͯ͠ࢪࡦͷՁΛਖ਼͘͠ݟੵΔඞཁ͕͋Δ 7 ʜ ʜ ૯ॲஔޮՌখ͍͞
૯ॲஔޮՌେ͖͍ ߹ܭ ߹ܭ কདྷΛՃຯ͢Δͱྑ͘ͳ͍ࢪࡦ ಈతτϦʔτϝϯτɾϨδʔϜͷਪఆ ɹ কདྷΛՃຯ͢Δͱྑ͍ࢪࡦ
ಈతτϦʔτϝϯτɾϨδʔϜͷਪఆ 8 2ֶशͷߟ͑ํΛ༻͍ͯɺεςοϓɹͷࢪࡦɹͷબͰಘΒΕΔॲஔͷՁɺ ଈ࣌ͷॲஔޮՌͱকདྷʹಘΒΕΔظॲஔޮՌ ࣌ͷ2 ͷͷظ Λ2Ͱදݱ͢Δ ɹҎ߱ͷظޮՌ ଐੑใϩάใ
ʜ ɹͷॲஔޮՌ
ಈతτϦʔτϝϯτɾϨδʔϜͷਪఆ ࣮ࡍͷਪఆͰऴɹ͔ΒḪΔΑ͏ʹɺ֤εςοϓͷ2ͷϞσϧΛॱʹਪఆ ͍ͯ͘͜͠ͱͰɺকདྷͷใΛՃຯͨ͠ਪఆ͕ՄೳʹͳΔ 9 ٯॱʹਪఆ
ಈతτϦʔτϝϯτɾϨδʔϜͷਪఆ w ؍ଌσʔλʹ͓͍ͯࢪࡦͷ࣮ࢪʹภΓ͕͋Δ߹ɺ2ͷࢉग़ʹબ όΠΞεൃੜ w είΞͷٯॏΈ͚ʹΑΓόΠΞεͷͳ͍2ͷࢉग़͢Δಈత80-4 ͱ͍͏ํ๏ଘࡏ͢Δ w ॲஔͷਪఆ2ͷਪఆʹɺઢܗճؼϞσϧɺηϛύϥϝτϦοΫϞσ ϧɺػցֶशϞσϧͳͲ༷ʑͳύλʔϯ͕ఏҊ͞Ε͍ͯΔ
10
%53ͷ31BDLBHF w %ZO5Y3FHJNF جຊతͳ2ֶश#08-ʹΑΓ%53Λਪఆ͢Δ1BDLBHF w %53SFH (ਪఆɺಈత80-4ɺ2ֶशɺಈతॏΈ͚ੜଘϞσϧͱ͍༷ͬͨʑͳ%53ਪఆ͕ߦ͑Δ1BDLBHF w EUS4VSW ੜଘ࣌ؒͷ%53ਪఆΛߦ͏1BDLBHF
w UNMFNPQUUY 5-.&Λར༻ͨ͠%53ਪఆΛߦ͏1BDLBHF w MNUQ %53ΛؚΉଟ༷ͳॲஔํࡦਪఆΛ5-.&ͱ͍ͬͨϊϯύϥϝτϦοΫਪఆʹΑΓ࣮ߦ͢Δ1BDLBHF w %PVCMF.- 1ZUIPOϥΠϒϥϦ %PVCMF.BDIJOF-FBSOJOHΛ༻͍ͨ%53ਪఆͷؔΛఏڙ 11
%ZO5Y3FHJNF1BDLBHF ಈతτϦʔτϝϯτɾϨδʔϜਪఆΛߦ͏͜ͱ͕Ͱ͖Δύοέʔδ ࠓճαϯϓϧσʔλΛ༻͍ͯ#.*ͷݮগΛࢦͨ͠छྨͷγΣΠΫυϦ ϯΫͷׂΓͯλΠϛϯάͷ%53Λਪఆͯ͠ΈΔ ॲஔλΠϛϯάɿճ 12
%ZO5Y3FHJNF1BDLBHF ஈ֊ͷॲஔϞσϧͱڞมྔϞσϧͷઢܗճؼΛCVJME.PEFM0CKͰ࡞͠ɺ R-FBSOؔͰղੳ 2ͷࢉग़ Λ࣮ࢪ 13
%ZO5Y3FHJNF1BDLBHF ஈ֊ͷॲஔϞσϧͱڞมྔϞσϧͷઢܗճؼϞσϧΛ࡞ɺ ɹஈ֊ͷਪఆͨ͠2ΛՃຯͯ͠ஈ֊ͷղੳΛR-FBSOؔͰ࣮ߦ 14
%ZO5Y3FHJNF1BDLBHF ςετσʔλʹର͢Δ࠷దͳ%53ΛPQU5YؔͰਪఆ͢Δ͜ͱ͕Մೳ 15
%ZO5Y3FHJNF1BDLBHF 16 $%ͷΈ .3ͷΈ ࣮ଌ %53 ਪఆͨ͠%53Λద༻͢Δ߹ΛԾఆ͢Δͱɺ#.*ͷվળظޮՌ͕࠷େ͖͍
؆୯ʹ·ͱΊ w ಈతτϦʔτϝϯτɾϨδʔϜෳεςοϓͷॲஔޮՌΛ࠷େʹ͢Δॲஔํࡦ w ਪఆʹ2ֶशͷߟ͑ํΛ༻͍ͯɺ͋ΔߦಈΛબͨ͠ͱ͖ʹকདྷʹΘͨͬͯ ಘΒΕΔॲཧޮՌΛՃຯͯ͠ϞσϦϯάΛߦ͏ w 3Ͱ%ZO5Y3FHJNF1BDLBHFΛར༻͢Δͱɺجຊతͳਪఆ͕खܰʹ࣮ߦ͢Δ ͜ͱ͕Ͱ͖Δ 17
%ZO5Y3FHJNF3QSPKFDU IUUQTDSBOSQSPKFDUPSHXFCQBDLBHFT%ZO5Y3FHJNF ಈతτϦʔτϝϯτɾϨδʔϜΛਪఆ͢Δ%ZO5Y3FHJNFύοέʔδ ⬜︎ ⬜︎ ⬜︎ IUUQTTBMUDPPLZIBUFOBCMPHDPNFOUSZ
"4."35%FTJHOGPS#VJMEJOH*OEJWJEVBMJ[FE5SFBUNFOU4FRVFODFT"//6"-3&7*&8 IUUQTXXXBOOVBMSFWJFXTPSHDPOUFOUKPVSOBMTBOOVSFWDMJOQTZ %ZOBNJDUSFBUNFOUF ff FDUTPGKPCUSBJOJOH8*-&:0/-*/&-*#3"3: IUUQTPOMJOFMJCSBSZXJMFZDPNEPJBCTKBF &TUJNBUJPOPG0QUJNBM%ZOBNJD5SFBUNFOU"TTJHONFOU3VMFTVOEFS1PMJDZ$POTUSBJOUT BS9JW IUUQTBSYJWPSHBCT ࢀߟ 18
&/% 19 &OKPZ