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Results 1 to 20 of 22 for query "A Pakkanen". (0.00 sec.)

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1.

The Short-Term Predictability of Returns in Order Book Markets: a Deep Learning Perspective
Lorenzo Lucchese; Mikko Pakkanen; Almut Veraart;
24 Nov 2022

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2.

Roughness in spot variance? A GMM approach for estimation of fractional log-normal stochastic volatility models using realized measures
Anine E. Bolko; Kim Christensen; Mikko S. Pakkanen; Bezirgen Veliyev;
9 Oct 2020

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3.

Unifying the effective reproduction number, incidence, and prevalence under a stochastic age-dependent branching process
Tresnia Berah; Thomas A. Mellan; Xenia Miscouridou; Swapnil Mishra; Kris V. Parag; Mikko S. Pakkanen; Samir Bhatt;
12 Jul 2021

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4.

On the conditional small ball property of multivariate L'{e}vy-driven moving average processes
Mikko S. Pakkanen; Tommi Sottinen; Adil Yazigi;
14 Jan 2016

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5.

Scattering of knotted vortices (Hopfions) in the Faddeev-Skyrme model
J. Hietarinta; J. Palmu; J. Jäykkä; P. Pakkanen;
29 Aug 2011

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6.

Ab initio models for ZnS surfaces: Influence of cluster size on surface properties
J Muilu; T A Pakkanen;
15 Apr 1994 / Phys Rev B, 49 (16), 11185-11190

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7.

Limit Theorems for Trawl Processes
Mikko S. Pakkanen; Riccardo Passeggeri; Orimar Sauri; Almut E. D. Veraart;
22 Sep 2020

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8.

Assessing Relative Volatility/Intermittency/Energy Dissipation
Ole E. Barndorff-Nielsen; Mikko S. Pakkanen; Jürgen Schmiegel;
24 Apr 2013

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9.

Shape coexistence in the transitional 133Ba nucleus
S Juutinen; P Simecek; P Ahonen; M Carpenter; C Fahlander; J Gascon; R Julin; A Lampinen; T Lönnroth; J Nyberg; A Pakkanen; M Piiparinen; K Schiffer; G Sletten; S Törmänen; A Virtanen;
31 Mar 1995 / Phys Rev C, 51 (4), 1699-1707

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10.

Band structures in 132Ba
S Juutinen; S Törmänen; P Ahonen; M Carpenter; C Fahlander; J Gascon; R Julin; A Lampinen; T Lönnroth; J Nyberg; A Pakkanen; M Piiparinen; K Schiffer; P Simecek; G Sletten; A Virtanen;
30 Nov 1995 / Phys Rev C, 52 (6), 2946-2954

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11.

Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk Aversions
Phillip Murray; Ben Wood; Hans Buehler; Magnus Wiese; Mikko S. Pakkanen;
15 Jul 2022

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12.

Deep Hedging: Learning to Remove the Drift under Trading Frictions with Minimal Equivalent Near-Martingale Measures
Hans Buehler; Phillip Murray; Mikko S. Pakkanen; Ben Wood;
15 Nov 2021

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13.

Limit theorems for power variations of ambit fields driven by white noise
Mikko S. Pakkanen;
10 Jan 2013

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14.

Lifetimes of yrast J pi =16(+)-26(+) states in 130Ce
P Tikkanen; J Keinonen; A Lampinen; R Julin; A Pakkanen; P Ahonen; J Hattula; S Juutinen; S Törmänen; P J Nolan; von Brentano P; A Dewald; A Gelberg; G Siems; R Wirowski;
30 Nov 1990 / Phys Rev C, 42 (6), 2431-2437

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15.

Human placental syncytiotrophoblastic Mr 75,000 polypeptide defined by antibodies to a synthetic peptide based on a cloned human endogenous retroviral DNA sequence.
Suni, J; NÃ¤rvÃ¤nen, A; WahlstrÃ¶m, T; Aho, M; Pakkanen, R; Vaheri, A; Copeland, T; Cohen, M; Oroszlan, S;

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16.

The Local Fractional Bootstrap
Mikkel Bennedsen; Ulrich Hounyo; Asger Lunde; Mikko S. Pakkanen;
3 May 2016

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17.

The uncertainty of infectious disease outbreaks is underestimated
Matthew J. Penn; Daniel J. Laydon; Joseph Penn; Charles Whittaker; Christian Morgenstern; Oliver Ratmann; Swapnil Mishra; Mikko S. Pakkanen; Christl A. Donnelly; Samir Bhatt;
25 Oct 2022

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18.

Feasible Inference for Stochastic Volatility in Brownian Semistationary Processes
Phillip Murray; Riccardo Passeggeri; Almut E.D. Veraart; Mikko S. Pakkanen;
13 Jul 2020

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19.

Sticky continuous processes have consistent price systems
Christian Bender; Mikko S. Pakkanen; Hasanjan Sayit;
29 Oct 2013

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20.

Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics
Hans Buehler; Phillip Murray; Mikko S. Pakkanen; Ben Wood;
22 Mar 2021

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