Mathematics / Math.PR

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Computation of copulas by Fourier methods

Computation of copulas by Fourier methods

์ด ๋…ผ๋ฌธ์€ ๋‹ค์ฐจ์› ๋žœ๋ค ๋ณ€์ˆ˜์˜ ์•”์‹œ์  ์ปคํ”Œ๋ผ ํ‘œํ˜„์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์•ˆํ•˜๋ฉฐ, ํŠนํžˆ ํ‘ธ๋ฆฌ์— ๋ฐฉ๋ฒ•์„ ํ™œ์šฉํ•œ ๊ณ„์‚ฐ ๊ธฐ๋ฒ•์„ ์†Œ๊ฐœํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋ฌด์ž‘์œ„ ๋ณ€์ˆ˜ ๊ฐ„์˜ ์˜์กด์„ฑ ๊ตฌ์กฐ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ๋ฌ˜์‚ฌํ•˜๋Š” ๋ฐ ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋™์  ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ณต์žกํ•œ ์ƒํ˜ธ ์ž‘์šฉ์„ ์ดํ•ดํ•˜๊ณ  ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๋Š” ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. 1. ์ปคํ”Œ๋ผ์™€ ์˜์กด์„ฑ ๊ตฌ์กฐ ์ปคํ”Œ๋ผ๋Š” ๋ฌด์ž‘์œ„ ๋ณ€์ˆ˜ ๊ฐ„์˜ ์˜์กด์„ฑ์„ ์™„๋ฒฝํ•˜๊ฒŒ ๋ฌ˜์‚ฌํ•˜๋ฉฐ, ์Šคํด๋ผ๋ฅด์˜ ์ •๋ฆฌ๋ฅผ ํ†ตํ•ด ๊ณต๋™ ๋ถ„ํฌ์™€ ์ด๋ถ„ ๋ถ„ํฌ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ์šฐ์•„ํ•˜๊ฒŒ ์—ฐ๊ฒฐํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ปคํ”Œ๋ผ๋Š” ๋™์  ๊ณผ์ •๊ณผ ์ž˜ ์–ด์šธ๋ฆฌ์ง€ ์•Š์œผ๋ฉฐ, ์˜ˆ๋ฅผ

Mathematics Quantitative Finance
Symmetries of the Black-Scholes equation

Symmetries of the Black-Scholes equation

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ธ”๋ž™ ์‡ผ์Šค ๋ฐฉ์ •์‹์˜ ๋Œ€์ˆ˜๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ๋ฅผ ํƒ๊ตฌํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๊ธˆ์œต์ˆ˜ํ•™์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๋ฏธ๋ถ„๋ฐฉ์ •์‹์˜ ๋Œ€์นญ์„ฑ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ณ ์ „ ๋ฌผ๋ฆฌํ•™๊ณผ ์œ ํด๋ฆฌ๋“œ ์–‘์ž์—ญํ•™์—์„œ ์ด๋ฏธ ์ž…์ฆ๋œ ๋ฐฉ๋ฒ•๋ก ์„ ๊ธˆ์œต์ˆ˜ํ•™์— ์ ์šฉํ•˜๋ ค๋Š” ์‹œ๋„๋กœ, ๋ธ”๋ž™ ์‡ผ์Šค ๋ฐฉ์ •์‹์˜ ๊ตฌ์กฐ๋ฅผ ๋” ๊นŠ์ด ์ดํ•ดํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์€ ๋จผ์ € ๋ธ”๋ž™ ์‡ผ์Šค ๋ฐฉ์ •์‹์˜ ์ผ๋ฐ˜์ ์ธ ํ‹€์„ ์„ค์ •ํ•œ ํ›„, ์ด๋ถ„์ˆ˜๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ์—ด๋ฐฉ์ •์‹๊ณผ ์ž ์žฌํ•ญ ํ•ญ๋ชฉ์— ๋Œ€ํ•œ ์—ญ์—ด๋ฐฉ์ •์‹์˜ ๋ฐฉ๋ฒ•๋ก ์„ ์ ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ธ”๋ž™ ์‡ผ์Šค ๋ฐฉ์ •์‹์˜ ์›๋ž˜ ํ•ด๊ฒฐ ๋ฐฉ๋ฒ•์ด ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋‚˜ํƒ€๋‚˜๋ฉฐ, ํŠนํžˆ r ฯƒยฒโ‚‚์™€

Quantitative Finance Mathematics
Convex hyperspaces of probability measures and extensors in the   asymptotic category

Convex hyperspaces of probability measures and extensors in the asymptotic category

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ํ™•๋ฅ  ์ธก๋„ ๊ณต๊ฐ„์—์„œ ์••์ถ• ๊ณต์ง‘์˜ ์ ˆ๋Œ€ ํ™•์žฅ์„ฑ ์—ฐ๊ตฌ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ๋…ผ๋ฌธ์€ ๋ฉ”ํŠธ๋ฆญ ๊ณต๊ฐ„ ์œ„์— ์ •์˜๋œ ํ™•๋ฅ  ์ธก๋„ ๊ณต๊ฐ„๊ณผ ๊ทธ ํ•˜์ดํผ์ŠคํŽ˜์ด์Šค์ธ ์••์ถ• ๊ณต์ง‘์˜ ์ ˆ๋Œ€ ํ™•์žฅ์ž ์„ฑ์งˆ์„ ํƒ๊ตฌํ•œ๋‹ค. ํŠนํžˆ, ๊ทผ์‚ฌ ๋ฒ”์ฃผ์—์„œ ์ด๋Ÿฌํ•œ ๊ณต๊ฐ„๋“ค์ด ์ ˆ๋Œ€ ํ™•์žฅ์ž๊ฐ€ ๋˜๋Š”์ง€ ์—ฌ๋ถ€๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ๋…ผ๋ฌธ์€ ๋“œ๋ผ๋‹ˆ์‹œ๋‹ˆ์ฝ”ํ”„๊ฐ€ ์ œ๊ธฐํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•œ ๋ถ€์ •์ ์ธ ๋‹ต๋ณ€์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋Š” ๋ฉ”ํŠธ๋ฆญ ๊ณต๊ฐ„์˜ ํ™•๋ฅ  ์ธก๋„ ๊ณต๊ฐ„์ด ์ผ๋ฐ˜์ ์œผ๋กœ ๊ทผ์‚ฌ ๋ฒ”์ฃผ์˜ ์ ˆ๋Œ€ ํ™•์žฅ์ž๊ฐ€ ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์••์ถ• ๊ณต์ง‘์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ํ™•๋ฅ  ์ธก๋„ ๊ณต

Mathematics
A Variant of Azumas Inequality for Martingales with Subgaussian Tails

A Variant of Azumas Inequality for Martingales with Subgaussian Tails

๋ณธ ๋…ผ๋ฌธ์€ Azuma ๋ถ€๋“ฑ์‹์˜ ๋ณ€ํ˜•์— ๋Œ€ํ•ด ๊นŠ์ด ์žˆ๊ฒŒ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด Azuma ๋ถ€๋“ฑ์‹์€ ํ™•๋ฅ ์  ๊ณผ์ •์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”๋ฐ, ํŠนํžˆ ๋งˆ๋ฅดํŒ…์•Œ์˜ ์ˆ˜๋ ด์„ฑ์„ ๋ณด์žฅํ•˜๋Š” ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด ๋ถ€๋“ฑ์‹์€ ๋ชจ๋“  ์‹œ๊ฐ„ t์— ๋Œ€ํ•ด |Zt|๊ฐ€ ์ƒ์ˆ˜ b ์ด๋‚ด๋กœ ์ œํ•œ๋˜์–ด์•ผ ํ•œ๋‹ค๋Š” ์—„๊ฒฉํ•œ ๊ฐ€์ •์„ ํ•„์š”๋กœ ํ•˜๋ฉฐ, ์ด๋Š” ์‹ค์ œ ๋ฌธ์ œ์—์„œ ์ ์šฉํ•˜๊ธฐ ์–ด๋ ค์šด ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ณ ์ž ๋งˆ๋ฅดํŒ…์•Œ์˜ ๊ฐ ํ•ญ์ด ๊ณ ํ™•๋ฅ ๋กœ ํฐ ๊ฐ’์„ ๊ฐ€์ง€๋”๋ผ๋„ Azuma ๋ถ€๋“ฑ์‹์„ ์ผ๋ฐ˜ํ™”ํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ณ€ํ˜•์„ ์ œ์‹œํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด, '๊ฑฐ์˜ ๊ฒฝ๊ณ„๊ฐ€ ์žˆ๋Š”' ๋งˆ๋ฅดํŒ…์•Œ์—

Mathematics Machine Learning Computer Science
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A radial version of the Central Limit Theorem

์ด ๋…ผ๋ฌธ์˜ ํ•ต์‹ฌ ์•„์ด๋””์–ด๋Š” ์›๋ž˜์˜ ์ค‘์‹ฌ๊ทนํ•œ์ •๋ฆฌ(Central Limit Theorem, CLT)๋ฅผ ๋ฐฉ์‚ฌํ˜• ๋ฒ„์ „์œผ๋กœ ํ™•์žฅํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ํ™•์žฅ์„ ํ†ตํ•ด ๋น„๋“ฑ๋ฐฉ์„ฑ ๊ฐ€์šฐ์Šค ํ•จ์ˆ˜๋ฅผ ๊ทผ์‚ฌํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ๋ฐฉ์‚ฌํ˜• CLT์™€ ๋น„๋“ฑ๋ฐฉ์„ฑ ๊ฐ€์šฐ์Šค ํ•จ์ˆ˜์˜ ๊ทผ์‚ฌ ๋…ผ๋ฌธ์€ ๊ฐ ๋ฐฉ์‚ฌ ๋ฐฉํ–ฅ์— ๋”ฐ๋ผ ๋ฐ•์Šค ํ•จ์ˆ˜ ํญ์„ ์กฐ์ ˆํ•จ์œผ๋กœ์จ ๋น„๋“ฑ๋ฐฉ์„ฑ ๊ฐ€์šฐ์Šค ํ•จ์ˆ˜๋ฅผ ๊ทผ์‚ฌํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์•„์ด๋””์–ด๋ฅผ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ํŠนํžˆ 4๋ฐฉํ–ฅ ๋ฐ•์Šค ์Šคํ”Œ๋ผ์ธ์ด๋ผ๋Š” ํŠน๋ณ„ํ•œ ๊ฒฝ์šฐ์—์„œ ํšจ๊ณผ์ ์ž…๋‹ˆ๋‹ค. ๊ณต๋ถ„์‚ฐ์„ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด ๋‹จ์ˆœํžˆ ๋ฐ•์Šค ๋ถ„ํฌ ํญ์„ ์กฐ์ ˆํ•˜๋Š” ๊ฐ„๋‹จํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด

Information Theory Mathematics Computer Science Computer Vision
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Extrapolation of Urn Models via Poissonization: Accurate Measurements of the Microbial Unknown

๋ณธ ๋…ผ๋ฌธ์€ ๋ฏธ์ƒ๋ฌผ ๊ณต๋™์ฒด ๋‚ด์˜ ๋‹ค์–‘์„ฑ์„ ์ธก์ •ํ•˜๋Š” ๊ธฐ์กด ๋ฐฉ๋ฒ•๋ก ์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ณ ์ž, ์ƒ˜ํ”Œ๋ง๋˜์ง€ ์•Š์€ ํด๋ž˜์Šค์˜ ๋น„์œจ์„ ์˜ˆ์ธกํ•˜๋Š” ์ƒˆ๋กœ์šด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์•ˆํ•œ๋‹ค. ์ด๋Š” ๋ฏธ์ƒ๋ฌผ ์—ฐ๊ตฌ์—์„œ ์ค‘์š”ํ•œ ๋ฌธ์ œ ์ค‘ ํ•˜๋‚˜์ธ '๋ฏธ์ง€์˜ ์–‘'์— ๋Œ€ํ•œ ์ •ํ™•ํ•œ ์ธก์ •์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•œ๋‹ค. ๋…ผ๋ฌธ์€ ์šฐ๋ฅธ ๋ชจ๋ธ๊ณผ ํฌ์ƒํ™” ๋…ผ์ฆ์„ ํ™œ์šฉํ•˜์—ฌ, ์•„์ง ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š์€ ์ข…์˜ ์กด์žฌ๋ฅผ ๊ฐ€์ •ํ•˜๊ณ  ์ด๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด๋Š” ์ƒ˜ํ”Œ๋ง๋œ ๋ฐ์ดํ„ฐ์—์„œ ๋ฏธ์ง€์˜ ์–‘์„ ์ถ”๋ก ํ•˜๋Š”๋ฐ ์žˆ์–ด ์ค‘์š”ํ•œ ๋ฐœ์ „์ด๋‹ค. ํŠนํžˆ, ๊ณ ์ •๋œ ์ƒ˜ํ”Œ ํฌ๊ธฐ์—์„œ๋„ ์›๋ณธ ์ƒ˜ํ”Œ์˜ ํ•˜์œ„ ์ง‘ํ•ฉ์— ๋Œ€ํ•ด ๋งค์šฐ ์ •ํ™•ํ•œ ์˜ˆ์ธก ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•จ์œผ๋กœ์จ

Quantitative Biology Statistics Mathematics Model
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The M/M/Infinity Service System with Ranked Servers in Heavy Traffic

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ฌดํ•œ ์„œ๋ฒ„ ์‹œ์Šคํ…œ์—์„œ ๊ณ ๊ฐ ์ฒ˜๋ฆฌ ๊ณผ์ •์„ ์ˆ˜ํ•™์ ์œผ๋กœ ํƒ๊ตฌํ•˜๋ฉฐ, ํŠนํžˆ Newell์ด ์ œ๊ธฐํ•œ ๊ท ํ˜• ์ƒํƒœ์—์„œ ์ƒˆ๋กœ์šด ๊ณ ๊ฐ์„ ์ฒ˜๋ฆฌํ•˜๋Š” ์„œ๋ฒ„์˜ ์ธ๋ฑ์Šค ๋ถ„ํฌ์— ๋Œ€ํ•œ ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๊ทผ์‚ฌ์‹๋“ค์— ๋Œ€ํ•œ ์—„๋ฐ€ํ•œ ์ฆ๋ช…๊ณผ ๋” ๋†’์€ ์ฐจ์ˆ˜์˜ ๋ถ„ํฌ๋ฅผ ํ™•๋ฆฝํ•˜๋Š”๋ฐ ์ดˆ์ ์„ ๋งž์ถ˜๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ฃผ์š” ๊ด€์‹ฌ์‚ฌ๋Š” ๊ณ ๊ฐ์ด ๋„์ฐฉํ•  ๋•Œ ๊ฐ€์žฅ ๋‚ฎ์€ ์ธ๋ฑ์Šค๋ฅผ ๊ฐ€์ง„ ๋น„์–ด์žˆ๋Š” ์„œ๋ฒ„์— ํ• ๋‹น๋˜๋Š” ๊ณผ์ •์ด๋‹ค. ์ด๋Š” M/M/โˆž ์„œ๋น„์Šค ์‹œ์Šคํ…œ์ด๋ผ๊ณ  ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ฮป โ†’ โˆž์˜ ํ•œ๊ณ„ ์ƒํ™ฉ์—์„œ ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์—ฐ๊ตฌ๋˜์—ˆ๋‹ค. Newell์€ L์ด '

Performance Mathematics Computer Science System
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The Degree Sequence of Random Apollonian Networks

๋ณธ ๋…ผ๋ฌธ์€ ๋žœ๋ค ์•„ํด๋กœ๋‹ˆ ๋„คํŠธ์›Œํฌ(RANs)์˜ ์ •๋„ ๋ถ„ํฌ์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋Š” ๊ทธ๋ž˜ํ”„ ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๋ชจ๋ธ ์ค‘ ํ•˜๋‚˜์ด๋‹ค. RANs๋Š” ํ‰๋ฉด ๊ทธ๋ž˜ํ”„๋กœ์„œ, ๊ฐ ๋‹จ๊ณ„์—์„œ ๋ฌด์ž‘์œ„๋กœ ์‚ผ๊ฐํ˜•์„ ์„ ํƒํ•˜๊ณ  ๊ทธ ๋‚ด๋ถ€์— ์ƒˆ๋กœ์šด ์ •์ ์„ ์ถ”๊ฐ€ํ•˜์—ฌ ๋„คํŠธ์›Œํฌ๋ฅผ ํ™•์žฅํ•œ๋‹ค. 1. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ๋ณธ ๋…ผ๋ฌธ์˜ ์ฃผ์š” ๋ชฉํ‘œ์™€ ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ์ด ์„ค๋ช…๋œ๋‹ค. RANs๋Š”

Physics Network Mathematics Social Networks Computer Science

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