Browse by UCL Departments and Centres
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Group by: Author  Type
Number of items: 43.
A
Ali, A;
Ambler, G;
Strydom, A;
Rai, D;
Cooper, C;
McManus, S;
Weich, S;
(2013)
The relationship between happiness and intelligent quotient: the contribution of socioeconomic and clinical factors.
Psychol Med
, 43
(6)
pp. 13031312.
10.1017/S0033291712002139.

Alkuwari, FA;
Guillas, S;
Wang, Y;
(2013)
Statistical downscaling of an air quality model using Fitted Empirical Orthogonal Functions.
Atmospheric Environment
, 81
1  101  10.
10.1016/j.atmosenv.2013.08.031.

B
Baio, G;
(2013)
Erratum: The Bayesian Model on HPV Vaccination in Italy Lacks Transparency (Medical Care (2012) 50 (10761085)).
Medical Care
, 51
(4)
378  378.
10.1097/MLR.0b013e31828a6a1e.

Baio, G;
Capone, A;
Marcellusi, A;
Mennini, FS;
Favato, G;
(2013)
Correction: Economic Burden of Human PapillomavirusRelated Diseases in Italy.
PLoS One
, 8
(9)
10.1371/annotation/39ddb7a93e7e4544a2262e2b872a5116.

Beck, JH;
Nobile, F;
Tamellini, L;
Tempone, R;
(2013)
Convergence of quasioptimal Stochastic Galerkin Methods for a class of PDES with random coefficients.
Computers & Mathematics with Applications
(In press).

Blangiardo, M;
Cameletti, M;
Baio, G;
Rue, H;
(2013)
Erratum to "Spatial and spatiotemporal models with RINLA" [Spat Spatiotempor Epidemiol 4 (2013) 3349].
[Corrigendum].
Spatial and Spatiotemporal Epidemiology
, 7
p. 37.
10.1016/j.sste.2013.07.004.

Blangiardo, M;
Cameletti, M;
Baio, G;
Rue, H;
(2013)
Spatial and spatiotemporal models with RINLA.
Spatial and Spatiotemporal Epidemiology
, 7
39  55.
10.1016/j.sste.2013.07.003.

C
Cardoso, G;
Stadler, M;
Siddiqui, AS;
Marnay, C;
DeForest, N;
BarbosaPóvoa, A;
Ferrão, P;
(2013)
Microgrid reliability modeling and battery scheduling using stochastic linear programming.
Electric Power Systems Research
, 103
pp. 6169.
10.1016/j.epsr.2013.05.005.

Chandler, RE;
(2013)
Exploiting strength, discounting weakness: combining information from multiple climate simulators.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 371
, Article 20120388. 10.1098/rsta.2012.0388.

Collevecchio, A;
Cotar, C;
Licalzi, M;
(2013)
On a preferential attachment and generalized Pólya's urn model.
Annals of Applied Probability
, 23
(3)
pp. 12191253.
10.1214/12AAP869.

D
Del Mora, P;
Jacob, P;
Lee, A;
Murray, L;
Peters, GW;
(2013)
FeynmanKac Particle Integration with Geometric Interacting Jumps.
Stochastic Analysis and Applications
, 31
(5)
830  871.

Di Tanna, GL;
Baio, G;
(2013)
Methodological issues for the economic evaluation of health interventions: A concise state of the art.
Epidemiology Biostatistics and Public Health
, 10
(2)
10.2427/8917.

Dickinson, L;
Ahmed, HU;
Kirkham, A;
Allen, C;
Freeman, A;
Barber, J;
Hindley, R;
(2013)
A multicentre prospective development study evaluating focal therapy using high intensity focused ultrasound for localised prostate cancer: The INDEX study.
Contemporary Clinical Trials
, 36
(1)
pp. 6880.
10.1016/j.cct.2013.06.005.

F
Fabrizi, L;
Williams, G;
Lee, A;
Meek, J;
Slater, R;
Olhede, S;
Fitzgerald, M;
(2013)
Cortical activity evoked by an acute painful tissuedamaging stimulus in healthy adult volunteers.
J Neurophysiol
, 109
(9)
2393  2403.
10.1152/jn.00990.2012.

H
Harden, SJ;
(2013)
Weighted composite likelihoods.
Doctoral thesis, UCL (University College London).

Hayes, K;
Hossack, GR;
Barry, S;
Peters, GW;
(2013)
Severe uncertainty and informationgap theory: A commentary for ecologists and environmental managers.
Methods in Ecology and Evolution
, 4
(7)
601  611.

K
Kaczmarska, J;
Isham, V;
Onof, C;
(2013)
Point process models for fineresolution rainfall.
Hydrological Sciences Journal
(In press).

Kaczmarska, JM;
(2013)
Singlesite point processbased rainfall models in a nonstationary climate.
Doctoral thesis, UCL (University College London).

Kalaitzis, A;
Silva, R;
(2013)
Flexible sampling of discrete data correlations without the marginal distributions.
In: Burges, CJC and Bottou, L and Welling, M and Ghahramani, Z and Weinberger, KQ, (eds.)
Advances in Neural Information Processing Systems 26 (NIPS 2013).
Neural Information Processing Systems Foundation: Lake Tahoe, NV, USA.

Kantas, N;
Beskos, A;
Jasra, A;
(2013)
Sequential Monte Carlo Methods for HighDimensional Inverse Problems: A case study for the NavierStokes equations.

Kapetanakis, V;
Matthews, FE;
Van den Hout, A;
(2013)
A semiMarkov model for stroke with piecewiseconstant hazards in the presence of left, right and interval censoring.
Statistics in Medicine
, 32
(4)
pp. 697713.
10.1002/sim.5534.

Killaspy, H;
Marston, L;
Omar, RZ;
Green, N;
Harrison, I;
Lean, M;
Holloway, F;
(2013)
Authors' reply.
Br J Psychiatry
, 202
(4)
309.
10.1192/bjp.202.4.309a.

Kiraly, FJ;
Ziehe, A;
(2013)
Approximate rankdetecting factorization of lowrank tensors.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing  Proceedings
pp. 39383942.
10.1109/ICASSP.2013.6638397.

Kiràly, F;
Lütkebohmert, W;
(2013)
Group actions of prime order on local normal rings.
Algebra & Number Theory
, 7
(1)
pp. 6374.
10.2140/ant.2013.7.63.

Korostil, IA;
Peters, GW;
Cornebise, J;
Regan, DG;
(2013)
Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus.
Statistics in Medicine
, 32
(11)
pp. 19171953.
10.1002/sim.5590.

Korotsil, I;
Peters, GW;
Law, MG;
Regan, D;
(2013)
Herd immunity effect of HPV vaccination program in Australia under assumption of reduced susceptibility to reinfection following recovery.
Vaccine
, 31
(15)
1931  1936.

Kosmidis, I;
(2013)
Beyond Beta regression: modelling percentages and fractions in the presence of boundary observations.
Presented at: ERCIM 2013, London, UK.

Kosmidis, I;
(2013)
Reducedbias inference for multidimensional Rasch models.
Presented at: 28th International Workshop on Statistical Modelling, Palermo, Italy.

Kosmidis, I;
Firth, D;
(2013)
Reducedbias inference for multidimensional Rasch models with applications.
In: Muggeo, VMR and Capursi, V and Boscaino, G and Lovison, G, (eds.)
(Proceedings) 28th International Workshop on Statistical Modelling.

M
Marnay, C;
Stadler, M;
Siddiqui, AS;
DeForest, N;
Donadee, J;
Bhattacharya, P;
Lai, J;
(2013)
Applications of Optimal Building Energy System Selection and Operation.
Proceedings of the Institution of Mechanical Engineers Part A: Journal of Power and Energy
, 227
(1)
pp. 8293.
10.1177/0957650912468408.

Martin, JS;
Jasra, A;
McCoy, E;
(2013)
Inference for a class of partially observed point process models.
Annals of the Institute of Statistical Mathematics
, 65
(3)
pp. 413437.
10.1007/s1046301203758.

O
O'Keeffe, AG;
Tom, BD;
Farewell, VT;
(2013)
Mixture distributions in multistate modelling: some considerations in a study of psoriatic arthritis.
Statistics in Medicine
, 32
(4)
600  619.
10.1002/sim.5529.

P
Pavlou, M;
Seaman, SR;
Copas, AJ;
(2013)
AN EXAMINATION OF A METHOD FOR MARGINAL INFERENCE WHEN THE CLUSTER SIZE IS INFORMATIVE.
STATISTICA SINICA
, 23
(2)
pp. 791808.
10.5705/ss.2011.252.

Perry, PO;
Wolfe, PJ;
(2013)
Point process modelling for directed interaction networks.
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, 75
(5)
pp. 821849.
10.1111/rssb.12013.

Peters, GW;
Briers, M;
Shevchenko, P;
Doucet, A;
(2013)
Calibration and Filtering for Multi Factor Commodity Models with Seasonality: Incorporating Panel Data from Futures Contracts.
Methodology and Computing in Applied Probability
, 15
(4)
pp. 841874.
10.1007/s1100901292867.

Peters, GW;
Dick, J;
Kuo, FY;
Sloan, IH;
(2013)
Monte Carlo and QuasiMonte Carlo methods 2012.
Springer Proceedings in Mathematics and Statistics: Vol.65.
SpringerVerlag: SpringerVerlag Berlin Heidelberg.

Peters, GW;
Targino, R;
Shevchenko, P;
(2013)
Understanding Operational Risk Capital Approximations: First and Second Orders.
Governance and Regulation,
, 2
(3)
(In press).

R
Rocha, P;
Kuhn, D;
(2013)
A PolynomialTime Solution Scheme for Quadratic Stochastic Programs.
Journal of Optimization Theory and Applications
, 158
(2)
pp. 576589.
10.1007/s1095701202646.

S
Shevchenko, P;
Peters, GW;
(2013)
Loss Distributional Approach of Operational Risk Capital Modelling under Basel II: Combining Different Data Sources for Risk Estimation.
Governance and Regulation
, 2
(3)

Silva, R;
(2013)
A MCMC Approach for Learning the Structure of Gaussian Acyclic Directed Mixed Graphs.
In: Giudici, P and Ingrassia, S and Vichi, M, (eds.)
Statistical Models for Data Analysis.
(pp. pp. 343352).
Springer International Publishing: Switzerland.

Smith, L;
Ucci, M;
Marmot, A;
Spinney, R;
Laskowski, M;
Sawyer, A;
Konstantatou, M;
(2013)
Active buildings: modelling physical activity and movement in office buildings. An observational study protocol.
BMJ Open
, 3
(11)
, Article e004103. 10.1136/bmjopen2013004103.

Stamler, J;
Brown, IJ;
Yap, IKS;
Chan, Q;
Wijeyesekera, A;
GarciaPerez, I;
ChadeauHyam, M;
(2013)
Dietary and urinary metabonomic factors possibly accounting for higher blood pressure of black compared with white Americans: Results of international collaborative study on macro/micronutrients and blood pressure.
Hypertension
, 62
(6)
pp. 10741080.
10.1161/HYPERTENSIONAHA.113.01810.

W
Williams, P;
Hennig, C;
(2013)
Optimising web site designs for people with learning disabilities.
Journal of Research in Special Educational Needs
, 15
(1)
pp. 2536.
10.1111/14713802.12034.
