Table 2.

Ten GPR models’ parameter estimations for each city’s pre-owned residential housing price index

EstimateCV1CV2CV3CV4CV5CV6CV7CV8CV9CV10
ParameterBeijing: isotropic exponential kernel, empty basis function and standardized predictors
σ11.3464410.8839711.2165211.2580611.0612111.3518411.2322611.3628011.2858111.29736
σl1478.762971549.804951511.418731487.238941469.362631527.779961584.828721415.074051456.238031431.98451
σf6996.287897058.993676964.918206985.327666985.616216995.050976992.208716984.689206997.992996986.10874
ParameterShanghai: isotropic exponential kernel, constant basis function and standardized predictors
σ12.6017112.6566712.4339612.4616912.5308112.3095112.4450612.6813312.6162912.73437
β6716.316196722.919186726.560646716.643626722.225766767.738316709.083066728.257436718.444926741.19175
σl76.7180079.93348105.4211976.9662477.6503190.9563783.8015078.5179676.0686188.07812
σf1734.477661744.499171771.829391731.233321737.499181752.390151736.887041739.066831735.421661772.84554
ParameterTianjing: isotropic exponential kernel, empty basis function and nonstandardized predictors
σ8.122238.370528.419598.147198.479918.334268.263148.167228.361248.29159
σl917896.68400901786.735261118250.47428907284.88983897970.04107906877.37576905286.14179903439.65243909402.33100968360.07350
σf4059.192844054.768534068.700654073.580174057.063494054.873944057.333264054.474494056.232124044.77978
ParameterChongqing: nonisotropic Matern 3/2 kernel, constant basis function and nonstandardized predictors
σ5.567274.926746.504674.285305.356565.546455.158874.112375.126304.26242
β1586.837431580.415871540.933021580.814751573.373021570.657901576.289431592.858351584.823591591.20074
σ16179.7445249177165094822.20000119205550.331282149.162165046068.48468549422.8834686565.881308264.275403572.51910350.38719
σ2336.74491309.43910493.70744262.24809327.47981313.34918291.598661221.48760303.39510946.63918
σ322830601.4238150671823250.42500346209.7895122342314.86463490489.895024896876.175141057550.17589294.880701741581.29388437.97748
σ4716.25275612.0971311909055.82648615.48868846.77062505.22669623.480211049.59618582.52378900.10337
σ5786574.3613335564030.74322881.36821328699.26660755193.56484702460.443492050.460891881.803832267.40498292678.05468
σ6157283006.40471401551.22127208620117.949882094464.495213422283.882561309663.5050052978396.484211463779.804292184692.361641827.29584
σ7434384.332632207.3844491449826.941851322.680432303.495982191.149592570.999012117640.484822859.705701208.41138
σ851504378.4501326348541.9194697714088.99401865739.50526418217.83527408326.248273158058.503261193899.85594505382.6495888386.51681
σ9289.24758282.27094423.70755242.89171283.75746288.84678264.45721334.87823283.76100358.16086
σf171.92764162.12951195.82911151.98030166.74296159.13466159.44168182.07565161.32802152.96275
ParameterShenzhen: isotropic Matern 5/2 kernel, empty basis function and standardized predictors
σ56.9023450.3585343.9634940.8081453.8088853.7893653.4305650.4620154.9045847.14572
σl137.800395.020114.275454.084785.849166.078667.533604.967005.581264.56867
σf102474.718024142.454413681.646963655.992294585.504824905.757595777.391364075.733724240.311943817.98637
ParameterGuangzhou: isotropic Matern 5/2 kernel, linear basis function and standardized predictors
σ35.6804334.1892724.2663734.1138835.0731935.7784734.5206534.6538435.8344834.24232
β04485.098774430.975314383.061734466.617284395.407414461.728404422.580254507.074074460.567904395.77778
β1−22.00451204.20283−51.03961−40.106828.34190−7.28323−0.69112−56.28909−22.18170−47.39137
β2−64.28505−469.89481102.95413−10.60102−32.16166−64.93041−82.1501416.25216−70.32153−25.97377
β3143.68304309.31510−82.56766111.2131275.83371123.12413116.38854118.48221164.64201184.78810
β46.24641−11.4162995.9235332.9749021.6878118.38982−21.92609−42.74598−14.93738−41.29688
β5−31.283629.24901−47.84468−54.63476−120.49049−47.2450010.28977−0.75441−29.3018926.58770
β6−232.27140−238.26042−172.98486−255.27472−187.78546−229.54177−242.82906−244.53654−244.58152−435.32932
β7−11.33771−7.90012−19.14608−42.0150033.16940−23.4010624.85018−20.72777−5.30953140.97066
β8−199.90394−222.54370−432.65164−118.83366−189.02693−181.22494−184.85978−149.52617−173.64549−145.39190
β91362.036261376.236921555.035051306.756781340.306231357.397901323.551881338.444351339.000201297.67889
σl266648.70619177047.86936136094.6845740617.41750175184.11308255379.07297170519.2889319638.07055175799.13066182805.47349
σf0.003480.005790.003310.005090.005990.003350.004180.004480.006260.00440
ParameterHangzhou: isotropic exponential kernel, empty basis function and standardized predictors
σ9.761599.563129.553619.671159.566809.500429.553009.762379.500789.59281
σl1285.127871274.698081547.228681318.463411337.765671275.581681286.014751265.184151304.209021351.82417
σf4945.149594944.555194972.093754964.273984950.566904947.079974941.236254947.083984948.160214934.15668
ParameterNanjing: isotropic exponential kernel, constant basis function and standardized predictors
σ9.169829.005309.064279.077069.046449.101179.114219.307399.137669.21620
β3892.373413913.277613893.107283892.448073881.411573886.878683892.751723893.179663894.866393851.13284
σl93.1905794.3825593.9504594.8489393.5079893.5792793.6036391.29244110.31117172.21773
σf1369.198571349.256751372.451261369.868261362.078991369.595621369.089821368.531751383.418621368.59079
ParameterWuhan: isotropic Matern 3/2 kernel, linear basis function and nonstandardized predictors
σ6.661896.666786.701956.597186.704716.622916.636376.717666.642606.73219
β010.7842112.301008.340229.922368.678049.9008810.046114.801449.945099.61494
β10.06340−0.010050.085180.016210.104530.041710.108980.106720.079880.13736
β20.020910.09498−0.034090.08375−0.008340.04736−0.06268−0.03537−0.03054−0.27797
β3−0.18118−0.23945−0.15890−0.19974−0.18776−0.19678−0.14400−0.20213−0.136270.15125
β40.012150.227410.182000.200060.207540.169220.146180.198040.15205−0.01339
β50.07525−0.12087−0.23858−0.32256−0.46272−0.20585−0.23221−0.21823−0.20137−0.11539
β6−0.38745−0.25529−0.14906−0.029220.10892−0.13963−0.03333−0.12452−0.16991−0.12346
β70.520490.353880.449300.259590.136880.282130.169850.355420.280500.18125
β8−0.73962−0.63818−0.76253−0.54932−0.35954−0.54483−0.47243−0.84189−0.50952−0.34950
β91.612371.582551.623701.537651.457201.543321.516121.760271.531541.40643
σl2.335232.335232.335232.335232.335232.335232.335232.335232.335232.33523
σf11.7532612.0734311.7814412.5429711.6716712.4944911.7821911.2684312.2626710.18165
ParameterChengdu: nonisotropic exponential kernel, empty basis function and standardized predictors
σ4.396574.354344.361674.322934.303204.261434.339314.421814.362534.33344
σ12941.141033113.621314126.331163394.647553035.253593326.198682772.825172531.9894849868618.512153165.31256
σ21753725.1536212531925823.419807690572.7518221414387728.081003174699.078721578935197.546633499884.40862333960828.8433010253919.146339210839.14545
σ3747467.030862423070835324.7600016638.507423121288.2094011177.084097834.782384377932.315281082289924.034622043.3992510300.21350
σ42379755.03833262120010551.6860016228.373477336002.132085164102.6370643696532.8553134097968.522783138950.575051221194.4505315467880.24444
σ52453.851323291.1700644321565.236772436.22905406210.3510720672747.7377132024331.462334066.2892611228642956.612602222792.75629
σ62051529.37133111853876525.189004732922.5070436742135.35967904568.471672927.63719505815505.38421133094027.208238086.310282820.17721
σ719314.052885450.5985671139689.97648265471447.040992618.580296603.493762507.5215620225.60903469870280.784142308567.46543
σ822172970.438216546614768.1548093380908.06771163324014.6679512089925.760552437685695.621221465150.156171426404.053171611.756486046398.86219
σ9622.38300630.41588892.41631643.90420634.75983651.68949623.51967631.20710766.86019648.68741
σf2403.729822402.251812408.488752414.052762402.359832390.710792399.177392397.752082407.905112406.04517
Source: Table by authors

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